{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "45746a85-ef2c-4df0-82e9-ed8a901eba84",
   "metadata": {},
   "source": [
    "# Job Shop Scheduling Benchmarking Environment"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79883758-0bf5-4e83-bd9c-9df3994b7f29",
   "metadata": {},
   "source": [
    "This notebook introduces an open-source GitHub repository designed to benchmark and solve a wide range of machine scheduling problems, with a focus on job shop scheduling (JSP) and related problem types. Developed to address the long-standing need for a comprehensive testing environment, this resource supports various problem configurations, including classical Job Shops (JSP), Flow Shops (FSP), Flexible Job Shops (FJSP), Assembly scheduling with dependencies (FAJSP), and Flexible Job Shops with Sequence-Dependent Setup Times (FJSP-SDST).\n",
    "\n",
    "This repository includes a diverse set of approaches, from traditional heuristics and meta-heuristics to exact solutions and advanced deep reinforcement learning techniques. With this environment, researchers, practitioners, and machine scheduling enthusiasts can experiment with and benchmark their methods, contributing to ongoing advancements in operations research and machine learning for scheduling applications.\n",
    "\n",
    "Let’s start by importing the required packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b5db17f9-d982-46c7-b8e0-b770edaeee61",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "from plotting.drawer import plot_gantt_chart, draw_precedence_relations\n",
    "from data_parsers.parser_fjsp import parse_fjsp\n",
    "from scheduling_environment.jobShop import JobShop\n",
    "\n",
    "from solution_methods.helper_functions import load_job_shop_env, load_parameters\n",
    "from solution_methods.dispatching_rules.run_dispatching_rules import run_dispatching_rules\n",
    "from solution_methods.GA.src.initialization import initialize_run\n",
    "from solution_methods.GA.run_GA import run_GA\n",
    "from solution_methods.MILP.run_MILP import run_MILP\n",
    "from solution_methods.FJSP_DRL.run_FJSP_DRL import run_FJSP_DRL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b914394-1416-43a6-b822-ac360bf82cff",
   "metadata": {},
   "source": [
    "#### Environment Configuration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b1e913a-3677-4278-8cb6-cecb587566ff",
   "metadata": {},
   "source": [
    "We start by configuring the environment. For this, we provide a set of parsers that can be used to parse data files from various benchmarking instances from the literature to configure the JobShop environment. As many different sources of instances exist, the parsers parse the information from the data format into the data objectives from the benchmarking environment. You can find the parsers in the 'data_parsers' folder and can use them as follows:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39f5c636-bf13-4fd2-b54c-7e185c4207f4",
   "metadata": {},
   "source": [
    "##### Instance Parsing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cfc80ec5-a542-48ce-b743-1fcf0f9c8e66",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobShopEnv = JobShop()\n",
    "jobShopEnv = parse_fjsp(jobShopEnv, '/fjsp/brandimarte/MK01.fjs')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b88f0afa-ef66-4ece-97fa-5980c99e85de",
   "metadata": {},
   "source": [
    "We also provide a 'helper function', that creates the JobShop() object, and selects based on the naming of the problem instance the right parser to be used:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8268e82d-935b-476e-bb45-c003c90c3f1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobShopEnv = load_job_shop_env('/fjsp/brandimarte/MK01.fjs')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98bb6d74-482e-4ec3-90eb-d95ee5b3bdbd",
   "metadata": {},
   "source": [
    "##### Instance inspection:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14b41c7d-adc0-458f-9132-83832e0bea0e",
   "metadata": {},
   "source": [
    "To inspect the instance we can plot it precedence relations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "926f0f87-a0e8-4f34-946b-c1fb1e888eda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_precedence_relations(jobShopEnv)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37c8335a-5f60-4071-bbaf-97eb9888611f",
   "metadata": {},
   "source": [
    "##### Object ineractions:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7557fcf3-82e5-4538-b0e3-e40bfcdb4559",
   "metadata": {},
   "source": [
    "We can now interact with the jobShopEnv to inspect its job, operation and machine objects, and make use of scheduling operators to schedule different operations within the environment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d613d163-d710-4450-b82f-e39e1d04d0e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Job Shop Environment:\n",
      "<JobShop(instance='/fjsp/brandimarte/MK01.fjs', jobs=10, operations=55, machines=6)>\n"
     ]
    }
   ],
   "source": [
    "# Display the Job Shop Environment information\n",
    "print('Job Shop Environment:')\n",
    "print(jobShopEnv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9365c11d-a1ff-46b4-a3dd-742d83b1a794",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "With the following Jobs:\n",
      "[<Job(job_id=0)>, <Job(job_id=1)>, <Job(job_id=2)>, <Job(job_id=3)>, <Job(job_id=4)>, <Job(job_id=5)>, <Job(job_id=6)>, <Job(job_id=7)>, <Job(job_id=8)>, <Job(job_id=9)>]\n"
     ]
    }
   ],
   "source": [
    "# Display the list of jobs in the environment\n",
    "print('With the following Jobs:')\n",
    "print(jobShopEnv.jobs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "26c3c276-6ac0-4925-b1bb-b926d628b890",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Where the first job (job_id=0) has the following operations:\n",
      "[<Operation(job_id=0, operation_id=0)>, <Operation(job_id=0, operation_id=1)>, <Operation(job_id=0, operation_id=2)>, <Operation(job_id=0, operation_id=3)>, <Operation(job_id=0, operation_id=4)>, <Operation(job_id=0, operation_id=5)>]\n"
     ]
    }
   ],
   "source": [
    "# Display the operations of the first job (job_id=0)\n",
    "print('Where the first job (job_id=0) has the following operations:')\n",
    "job = jobShopEnv.get_job(job_id=0)\n",
    "print(job.operations)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc45fc9-7697-4860-b457-971b6c838467",
   "metadata": {},
   "source": [
    "#### Starting to schedule"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80ef96fc-5bc7-475d-9343-b32e17284393",
   "metadata": {},
   "source": [
    "We show how to ineract with the scheduling environment by building a simple 'scheduler'. This scheduler select randomly an operation to be scheduled from the set of operations that are available for scheduling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea2695f3-f9dc-4b48-8c4e-e48e84ba879d",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobShopEnv = load_job_shop_env('/fjsp/brandimarte/MK04.fjs')\n",
    "jobShopEnv.update_operations_available_for_scheduling()\n",
    "while len(jobShopEnv.scheduled_operations) < jobShopEnv.nr_of_operations:\n",
    "    operation = random.choice(jobShopEnv.operations_available_for_scheduling)\n",
    "    machine_id = random.choice(list(operation.processing_times.keys()))\n",
    "    duration = operation.processing_times[machine_id]\n",
    "    jobShopEnv.schedule_operation_on_machine(operation, machine_id, duration)\n",
    "    jobShopEnv.update_operations_available_for_scheduling()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e5e4dd9-5db1-40e0-beb8-d618983dfd13",
   "metadata": {},
   "source": [
    "The solution is generated with the jobShopEnv.schedule_operation_on_machine(operation, machine_id, duration) function. This function schedules an operation on the specified machine by adding it after the last operation that has already been scheduled on that machine.\n",
    "\n",
    "Other functions to schedule operations are also provided, such as:\n",
    "\n",
    "- jobShopEnv.schedule_operation_with_backfilling(operation, machine_id, duration)\n",
    "\n",
    "This function schedules an operation at the earliest possible time with backfilling. It checks if there is an earlier gap in the schedule where the operation can be performed. If a suitable gap is found, the operation is scheduled to make use of unused time, resulting in a more efficient schedule. Backfilling allows the system to maximize machine utilization by filling in idle periods between operations.\n",
    "\n",
    "- jobShopEnv.schedule_operation_on_machine_at_time(operation, machine_id, start_time, duration)\n",
    "\n",
    "This function schedules an operation on a specified machine at a given start time. It ensures that the operation is placed at the exact time specified, taking into account any necessary setup times or constraints. This method provides more control over the scheduling process when a specific time is required for the operation to begin."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b9160c4-0560-447b-8e4a-42f24acd4324",
   "metadata": {},
   "source": [
    "##### Plotting solution"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d662bb2f-54d0-430e-85ea-6dcc6c62a652",
   "metadata": {},
   "source": [
    "After a schedule is obtained, we can pass the jobShopEnvironment to a plotting function, to plot the found solution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eaf26fa6-4aa6-4ae9-a5f4-934315ea7f4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zZ89mzpw5tGrVit9++43//ve/1KlTh0GDBp213pEjRzJ8+PDcxykpKURHR9OlS5ciV4w3ORwOli9fzg033IDVavV2OFIO1MdVn/q46lMfZ5s/fz5Dhw7lqUH9uPaS9h6vPy09nXVr1zJ91JOEJ8QBEG4C/v7/wA5tmTVzJub926keFOTRtncdOkJ4m4upXbt2nsvupGrQGK761MdVX2Xp45wzuYvDJxJ0yD7N/aGHHgLg7bffzvf8iBEjePrpp7nzzjsBaN26Nfv372fChAkFJuj+/v74+/vnK7darT7dgTkqS5xSeurjqk99XPWpj8Fut+PKysJUDiflrdzwC02j69Ioqha43WQ5naSknia8evYX7St/2URYSDBh1aqBp9t3uQAwmUznfB9XZRrDVZ/6uOrz9T4uSWw+k6B369aNzMxMDMOga9eu+Z5PS0vDZMp7Tzuz2Yzr7w9PERERqXoWr/2R3lddnvvYkZXFiP9NxZGVhWGYCA2qxksPD/NihCIiIp7jMwm62Wxm27Ztuf//t969ezN+/Hjq169Pq1at2LRpExMnTmTIkCEVHaqIiIhUkGkjH8/z2Obvz/ujnvJSNCIiIuXLZxJ0oNDrwidPnsyoUaN44IEHOH78OHXq1GHYsGGMHj26AiMUERERERERKR9eTdBjY2MLfX7RokW5/w8ODuaNN97gjTfeKNeYRERERERERLzBVPQiIiIiIiIiIlLelKCLiIiIiIiI+AAl6CIiIiIiIiI+QAm6iIiIiIiIiA9Qgi4iIiIiIiLiA5Sgi4iIiIiIiPgAJegiIiIiIiIiPkAJuoiIiIiIiIgPUIIuIiIiIiIi4gOUoIuIiIiIiIj4ACXoIiIiIiIiIj5ACbqIiIiIiIiID1CCLiIiIiIiIuIDlKCLiIiIiIiI+ACLtwMQERGRyu9IfALb9x/0dhgedfBEPOHeDkJERM4pStBFRESk1Bo2bAjAu4sW8+6ixd4NxsNsNhtzu/UmKCjI26GIiMg5Qgm6iIiIlNoVV1zBjh07OHXqlLdD8TiXy0VcXBxNmjTxdigiInKOUIIuIiIiZdKsWTNvh1AuHA4HcXFx3g5DRETOIbpJnIiIiIiIiIgPUIIuIiIiIiIi4gOUoIuIiIiIiIj4ACXoIiIiIiIiIj5ACbqIiIiIiIiID1CCLiIiIiIiIuIDlKCLiIiIiIiI+AD9DroP27x5MyZTxX+HkpCQQEREhM8sX1kEBweX+LeAS9LHpalfPGvnzp2cOnWqWMu6XC7Ae+O4JDSGz9A4k7PxxFxdkvkDvDfOCmrX18ZGSdenr8XvSQWtC29tQ1V5XYtUBCXoPmj9+vUAdOrUCbvd7uVopCR27NhRrA+l0vZxcesXz/vhhx+48sori728zWZj7ty5GseVkMaZ5PDUXF3S+cNX+crYKO369JX4PclXt62quK5FKooSdB904MABgoKCiOnVjYtbnFehbS9es47PVq6h5i01Cb4wuMjlE1clcvL7k7wQcxU9Lm1S5PLvLd3M1C83Fbv+yiLjcAaHph8q9rf5uX3c5z4uaXN5kcvvO7SH5yc9VaKjBeJZ+/btA6DXJYNpFX1pkcubrQYAj904CafDXZ6hlcm6v5awZuuXdO7cuVg7U7/++is///wzQ/s9QseLrqqACCuOxpn8W0k/j/cfOcrz783Ktw3lzB99732K9pdfV2Q9K76YzTcLZxV7vvGUguaDEydO8Nlnn/nM2CjpfHw06QCzvpvgM/F7Us66eKGzPz2andmtf+/XTKb+7MhXXt62nXAx4DN7lVzXIhVFCboPqxURTvMG0RXa5vrfqwPgV8MPW0Nbkctbt1gBaBQVSvtmUUUuX2fD7hLVX9VF1axD8yYtvR2GlEBEUBTRkUXvqBsWN5BK3RpNcWcZ5R9YKVU/sAGAsLAwateuXeTywcHZX6zVqVVX266cMzz1eVyzTn2aNL+wyOV+rfEtUPz5xlNKOh94W0WvH1/WKMygfW1z7uM6wcZZy0XE9/n2hZEiIiIiIiIi5wgl6CIiIiIiIiI+QAm6iIiIiIiIiA9Qgi4iIiIiIiLiA5Sgi4iIiIiIiPgAJegiIiIiIiIiPkAJuoiIiIiIiIgPUIIuIiIiIiIi4gOUoIuIiIiIiIj4ACXoIiIiIiIiIj5ACbqIiIiIiIiID1CCLiIiIiIiIuIDlKCLiIiIiIiI+AAl6CIiIiIiIiI+wOLNxmNiYpg1axbDhg1j2rRpeZ578MEHmTJlCoMGDSI2NpaGDRuyf//+fHU88MADvP322xUVsk9JTk3l0dcn5z5Oz8zkyIkEvpw4gUWr1rJ03U8cOn6C8Q/cQ6d2bYpVZ5bTCcDRj48SvzQec4iZOnfVwb+WP263m+OLjpO8PhnDamAJslCtZTUAJn26gbEfrsXmb6FmaDWmPtKVpnXDeHHOOmYt/4OdcYksfO4Wz6+Ev7kyXRycepCMwxmY/Ex54t79/G7cDjcAbpebjLgMmr7QlIDogHKLp7iysrJ4ffo4Nmz6AT+rP00bNee5x17Off6rbz/jxcnP8lDMCC9GKeVt9Ox+WMxWrBZ/ALq07ctFTTvnPv/jX18ze9WrDO0yljaNriyXGI4ePcq6detwu924XC4uv/xy2rZtS2xsLMnJyfj7Z8cWHBxcLu0DZDoymTzzlXzjoaBykfJ26tQpnn32WeynUvjoq6/zfM4GVwtkxhdLWL7hZ/wsFqoHBfHQ7YV/zs2YNIo3xzzI67NW0Oi8C/I89+3iubw9/jGeemlmiWI82/zRvF57Ji8+87mRmZVOQsoRJtz1KdUCQs5az58HfmL11s8BWLFiBU6nk7Zt2xIXF8cXX3wBwK233sr999/Pk08+WaIYy8uCH6ew9NcP882dWw9s4MuNM3G6HPhZAuh8Qfntf3jLI488whdffJFn3zghzcV1H6QBcOx09n7PXZ+l072plXCbcfZ6lqbzxXYH+5PdbBpWjbZRZgCW7HTw7HcZuNyQ5YIRl/sxqK1fOb8rEQEvJ+gA0dHRzJs3j0mTJmGz2QBIT09nzpw51K9fP3e5jRs34vw7eQT4448/uOGGG+jTp0+Fx+wrqgcFEfvcyNzHc75ZwW/bdxESVI2Lz2/OdZdexISZH5Wq7lq31yLsijASViQQNyOOxiMbk7A8gYxDGTQd3xSTxYQjycHJ1ScB6Ny2Aa8M7YxhGLy16BfumbiEla/35/r2Dbmzc0uGvPaVR95zYcKvCSfowiAMw8gTd5PRTXKXSd6YzPHPj/tEcg6wfM0S6taKZt6UJdlxnzyR+9yRY3F8sWwBrZoX78sVqdyGXD+KejWa5itPOHWUdX99RcOa55dr+xs3buTuu++mVq1aJCUl8dZbb3H++dltdu3alRYtWgCwevVqdu3aVS4xTP1gIgZGvvFQULlIeQsODuaNN97gt6+/5PqL2+X5nJ2/4nt2HzrMh2OfwWqxkJCcQnxScqH19RkynC/nTstXfvzIAVZ8PpvzLrioVHGebf4Yedv03P+v2DyfXYc3F5icu91uZn03gYubXMvqrZ/TsWNHFi9ezPnnn8+XX35J27ZtWbZsGTNmzOCOO+6gV69etGzZslSxetq/33taxiliv3uRx258g9rhDdl1ZAsfrXzFixGWj9tuu40nn3ySdu3aER8fD0BEoInf7gsCYNzqdEZ9n0mbWqYCk3OA21paePIKP66ccTq3zO12M2ChnZUx1biwlpl9SS5avJXKLedbCfYvuC4R8Qyvn+Levn17oqOjWbhwYW7ZwoULqV+/Pu3atcsti4yMJCoqKvdv8eLFNGnShKuvvtobYfukr9b8SK+rOgLQsnFD6kbWKHEdFnP2N6eGkT0BBzYJxBHvACB+aTy1+tTCZMnebKyh1tzXtW1SK/c1Hc6vw75j2Tspl7aoQ+PaoaV7QyVg8jMR3Cb4rHH/08nVJwm7Kqzc4ymO9PR0Nv2+gWEDHs2NOyIsEgCXy8VLb4/msaH/h59F31ifq1xuF3NWvU6fKx7GYi7f7cAwDNLT0wHIyMggMDAQi6XivsO1p6exeMXCfOOhoHIRb/jn5+zcb77lvltvxPr3OImofvbk95+Cq+f//HG5XEx58XHueXw8Vmv5jPMf/1pKxxbdi1zO4cwEss/uypkDDMMgMzO73G634+fnR3h4eLnE6QknUg5TLSCE2uENAWha+0JS0k56N6hy0KlTJ+rVq1fkclc3NBdeTwML9ULypwOGYZCUnn0UPiXDTUSggb/XD+uJnBt8YqgNGTKEmTNn0r9/fwBmzJjB4MGDWbly5VmXz8zM5KOPPmL48OG5O2xnk5GRQUZGRu7jlJQUABwOBw5H/uTN15jMFlyFvL9/+n3XHk6lpdGhTeu8rzEM3BjFrsditWKz2QiwBOCPP4eXHSasfRgWu4WslCzSfk0j7uc4AGp1rUWANSD7zAezFYc7+0Ng0me/0Ltj89zHAG4MstwmTBa/PPWXl5y4/9lGZkImp7efpsm9TbB4eNN3mVzYbDZcLlext62jR49iCwhk1oJ3+Hnzevz9/Bl85/1c3KYDc7+I5YLz23Be0xa4cYNBiesXz7PZbFj8zBgWd5HLGmZ3nn8LXxg+WPkSuN00qNWCmzreQ7AtlO83fULj2q1oULsZhuHGMFOstkvC6mfBZrNx6aWXMn/+fKxWK+np6dxxxx1YrVYMw+Dbb7/l+++/JzIykvDwcGw2GyazCRfOohsopoNH9xMSVD3feAitHn7W8ovbdPBY27lKOM5yltGYrPpMZgubd+/N/Zw9lZ5OYkoKazb/zsr3PwDg9i7X0SAqqsBtyGazYTb9/VnscoIrC4Av5kyjReuLaHJeK8ANbicWi7n4800B80eOPUf+JC3jFK2bdMAwnb0uA7i767O8s2Q0hmGwatUq+vXrh9Vq5eabb+ajjz7CMAxuueUWpkyZQkREhNe3e5vNhuHO/95rhdchLT2FvSf+oHHtVmzZu47MrHT8/Pzy9UtVGcP+/v5gteEwnTlwcvC0E8ikXXQ1HKZifPFjpOIw/HLrmN3HzC3zk6lmNTiZ7mb+HdUxrH4UtaZcFhc2m8tn9leqSh9LwSpLH5ckPp9I0AcMGMDIkSNzr6P54YcfmDdvXoEJ+qJFi0hKSiImJqbQeidMmMDYsWPzlS9btozAwMCyhl1ugoKyT0+68IbuJBbzNQvnLKTTtdeRUrN+nnKHxY9TweEkRtQtVj1d+w+ia/9BAHzyySekJqby/H+fJzMzk4HOgXQyd+KOiXdw7Ngxnn76aUaPHk2jvo0AWJKW/ZpfDjl4/vlRLEk7kxwnOBfxS0ZTOvTqwNxeDxfzXZXOP+POuW4W4ONvPib44mCejC6Ha+dCgbkQFxdHXFxckYsHBQVx7NgxklJOUiM6mJfvepE9e/Yw+rnHeeqpp/j2x68YP348CezBgZ2gWmbmzp1b7PrF84KCgpg7d+7fj1KL/bo6154ucpmX244jMjKSrKwsZs+ezfzfXmTQoEFsXbGK8ePHY7Gk4rfSSXgbO3U7FL/t4hh0Q08GOLsxevRonnnmGVq1asXOnTt58cUXefPNN3nmmWeIjIzE7XazZMkSli5dmrseEtjjsTgSnfs5euJwvvEwatSos5ZPnjyZ0NBQj7UPEN7YWqpxtnz5co/GIb7jn5/HkydPzv2cPXXqFE6niySLjQmT3szzmXi2beif88eHzgyMk39iOmFn//79/LTiE8aPH4/pxM+QeQojeRe3dunArV2KN9+cbf4YPXp07vMLJ3/BdV2vpn5Xe4F1OJ1Opoz+gOfGjs43ByxfvpyhQ4dy9dVXc/ToUZ588knS0tKIjo4u5Votu5z1eeLEibO+96cbPMm8edOx/2anRYsWREdHM3DgwALHdmUew4ZhMGHCBIIaN2bJP8p3r57MzTcHU71/TJ7ygqRZh7L2vJEcbtwYp9PJ6PmjGf7MiNztod+LL/Lmm68RElL0mSJzuxR/f6iiVOY+luLx9T5OS0sr9rI+kaBHRkbSs2dPYmNjcbvd9OzZkxo1Cj49+/3336d79+7UqVOn0HpHjhzJ8OHDcx+npKQQHR1Nly5dijXBeMv8+fMJCgpiy/KlXNP+wiKXT0tPZ93atUwf9SThCXknQ2tWJsGnEvOVF2Tu1yuIXfw1gW0DsR+x02xEM16xZ1+7ZQow8Xu739mRtAP8wd3EzQuzX8D+p513h3fn0PFktm34kzUv9yc0aEueeieaT3GR/y7+XLyRcbPXUXdwXapfWr2Ya6T4ji49ysmfTp6J++/9EbfbzR8r/qD+XfV5IekFj7drP2Bn74S9rF69mjZtir5mfP78+URGRmIYBv/pFIMZMxGNG1O31vuc2JfKieMJPHT/IwAkJsXz9ltTeP3111m3bl2x6hfPmz9/PkOHDqVfp8dp3/SaIpc3zG7qXHuaw99Vw+0s6gyWIHJG6CXV72TJ7zGsW7ibIwdPcO/gBwFISUtk/55p7P0xjU4X3Fim9/JPKzZ9zJJfPsBqtZKVlcXmzZuB7KNTK1asoEmTJhw+fBiAevXqcfjwYe68805GPvQC117Z1WNxmCPDMJlM+cZDerzprOUn92fSJLSxx9oH2LlnOw8+c1exx7HD4WD58uXccMMNWK3WIpeXyifn83jjV1/k+ZwNB2z+/tzUpkX2Ywu0adyQzd8t5/9WfJ9vG8qZP+4f+TqY/XGHtcIV2Yo/127lWPxJ7n/ovwAkJZ5gyrR3+W7dJn7fuLqY803++SNuefYXC+mZdtauXseTfd7OLTub/ce3c+JQEj9/tY9x48Zx4403YrPZWLx4MT/++CMXXnghffv2ZfXq1Vx99dVYLBZ69OhR6vVaVnnn4+yDBP987+F05IFrsi9FcDgz+W75bbz++uusXbs2T79UhTHsdrsZOXIk798cyO0ts99DaoaL21fGY1j8uc1/VW55YQIdCVy54wXanrLyS5yDjKMpjMh6E7I/EphnO0WNFY9wfZPCj8ZvPuai08zTxZ5Hy1tV6GMpXGXp45wzuYvDJxJ0yD7N/aGHHgIo9K7s+/fvZ8WKFXmuWS+Iv79/niOoOaxWq093YA6XMwuTu+jTWVdu+IWm0XVpFFUL/r28242Bu1j1AGQ5HNjtdrJ2ZtF0bFOc1Zw4/z6Ntfpl1Un4PYGI6yLISs3i9N7TBLUOwm63s+THv/jrYAIrXu5LWLAV/nXqq4Ebi+HClZWJ3W4nPSudADx7o7b4r+NJWp9Eoycb5YkbIHVbKm6nG/9W/mSQUUgtpZPhysBut2MymYq9bYWEhNC4flM2blrP5Rd34vCxQxw5Fkfnjl24vdfA3OUeeiaGKy65hrdiXy1R/eJ5drudrEwn7qzi3yTH7TQKXT7DYcfpchLon73zvHH799SLaMpVLW7iqhY35S73xhfD6dz6Fto0uhJ3Vunfw785MrPIyMjA6XRy7NgxIiMjSUxMJDExkfDwcFJSUnKPIm7dujX3FHiX04WJwq9tLInwkBpc1LpDvvFwYfP2Zy1vVK+pR9sHwE2JxzFUns8UKb3fd+zI9zl7/WUXseH3P7mlcydSUk+zbe8+rmhzQYHbkN1ux+n6+7PYZAaThW63DqHbrUNylxn1wH/odce9HNjzFxtWf1PkfFPQ/JHzml92rKRuRBNqBTcodN4IDahJcloiicnx2O12Tp48SWJiIrVr18ZqtbJ//37sdjvJycls3LiRJ554wuvbvN1uJ+306dz3+s/3nnw6gerVIgBYumE29SPPY8fh3woc25V9DGdkZIDDwOrK3u9Z+HsmUUEGB5LzlhfK7cbqzsTqctIo2MXRU052HTvN+ZFmdiW62JOYRavwLKwuV6HVmLKcpZpHy1tl72Mpmq/3cUli85kEvVu3bmRmZmIYBl27FnxUZubMmdSsWZOePXtWYHS+bfHaH+l91eV5ymIXf83nq9aSdCqVl2fNYdKcT5gx+inCiviJpFR79iFnV4aLvS/tBcCwGjQZ3YRafWoR914cid9ln3hfo0cNnKezJ/05322lce1QOj8xBwB/PzM/TR7EuNk/MG3xb5xITuOPiUtxZHnumtV/ciQ6ODrvKNZIa764IfvmcKFXhWKYip9YVYReN9zKnEUzmPrBREwmgxH3P0dkRC1vhyUV6JT9JO8tG4vL7cQN1AiuzV3XPl3hcbRr144FCxZgGAZut5sePXpgs9mIjY3F6XRiGAaBgYFceOGFbNy4sVxiGHH/aCa8NSrfeCioXKSi/PrXDgZ2vyFP2X233MiLMz/is+/XANC/+w00rlv4mX3vv/4MaWmneP6/d2ILDGLKgvVliquo+ePHv5ZyeYui95dCAsPp22k4n67LPkCyfv16evToQWhoKH369GHp0qUADB06lP/+97907NixTHF7yje/zWHV1kX53vtXP8ey++jvOF1OGtVqSff2A9lx+Devxuppw4YN46uvviIxMXufbPg3GfRvnX10+/1NDi6qbeJActH7XMO+tPPVziyOprrp+lEawX6w65FgpveycfsCOyYDXG54q4eN+tW9fm9pkXOCzyToZrOZbdu25f7/bFwuFzNnzmTQoEEVendhXzdt5OP5ymJ6dSOmV7cS1xX090/d1e5bm9DLQ/M8Zwmy0OC/DfKUHf/iOAAfPd2b/te1ylffs/2v4Nn+V+Q+Hjf7B0bFrilxXEWxhlu5IPaCAp+Pvs9718oVJjw0grfGxRa6zFvjY9m+e2vFBCQVrkZIHZ6+7Z0il/vvjRPLNY7o6OiznrJ677335nm8evXqcouhblT0WcdDQeUiFeWe//Tm+ovb5SmrHhTEyw/fl6ds+/6DhdZz9+PjubrrrQU+/8KUzwA4sOevYsVV1Pzx+M2Ti1UPwMVNryU++TCLf57J9ddfT+vWrQFo3Lgxt9xyC9OnT2fBggW0b9++2HWWt96XDOGS867PV97v6rz7RQdP7KiokCrMO+9k9/vs2bMZMGAAE7ueOWN03d3VGLc6nc/+KjpBf6e37azlfVtb6dvad49GilRlPpXlFnVd+IoVKzhw4ABDhgwpdDkRERERERGRysarCXpsbGyhzy9atCjP4y5duuAu5rXUIiIiIiIiIpWJLiYRERERERER8QFK0EVERERERER8gBJ0ERERERERER+gBF1ERERERETEByhBFxEREREREfEBStBFREREREREfIASdBEREREREREfoARdRERERERExAcoQRcRERERERHxAUrQRURERERERHyAEnQRERERERERH6AEXURERERERMQHKEEXERERERER8QFK0EVERERERER8gMXbAUjBjiUksn3/wQptMz4pGYDM+Ezs++xFLu846QBg79Ekft15tMjlDyeklqj+yiLjcEapXnf0+GG2795a5HL7Du0pVf3ieQmpRzl4YkeRy5mtBnWJIi5+F06HuwIiK53ktHgATp48yZEjR4pc/tSpUwAcPhZXrG23MtE4k4IU9/N4/5HCPwePHz7A7u1biqwnMT67nuLON55S0Hxw4sSJCouhJIq7fo4mHaiAaLxr70k3vx5x5j4+fMp91vLytu2Eq8LaEqmy3OeQ5ORkN+BOTk72diiFWr16tXvRokVum83mBvRXif527NhRrn1c3PrF89auXVuivrLZbBrHlfSvuOMsMzPTvWjRIndmZmY5b33iLZ6aq0s6f/jqn698BpV2ff47/qowhn112/KVbaUq9LEUrrL0cUnyUB1B90EdOnRgyZIlrF69GpOp4q9CSEhIICIiwmeWryyCg4Np1qxZsZYtTR+XpH7xvCuuuIIdO3bkHkEuisvlIi4uzmvjuCQ0hs/QOJN/8tRcXdL5A7w3zgpq15fGRmnWpy/F70mFrQtvbUNVdV2LVBQl6D6sTZs2WK1Wb4ch5Uh9XLmUZIfD4XAQFxenPhapAjwxjpWweJbW5xlaFyJVi28f1hERERERERE5RyhBFxEREREREfEBStBFREREREREfIASdBEREREREREfoARdRERERERExAcoQRcRERERERHxAfqZNR+2efPmfL+7Wpl+f7igWEtaXtL6C6Lf5Szczp07S/Sbst6kvvRNlWkb8sQ85HK5gJLN1dp2q46Sbu/qe+86W38VNoZ9kbf2n7xFY8b7Cprn1DflSwm6D1q/fj0AnTp1wm63ezmaqmXHjh2aUM7ihx9+4Morr/R2GCWivvQtlXEbKiubzcbcuXNLPFdr2638Sru9q++9o6D+Ku0YloqjMeM9Rc1z6pvyowTdBx04cICgoCBuG/wYF156TW75ii9m883CWTx310N0vdi3d4Rjv1nI9K/m54s1p/yFzv70aHZm83vv10ym/uxgxFV307lxhyLrn7dlMR9s+pzew7vQunOLIpc/sus4Mx+bV2mO7lW0ffv2AdD33qdof/l13g2mCIf27eTNMQ+qL31Mzjb0QsxV9Li0iXeDKcJ7Szcz9ctNDL25Fx1at8otX7xmHZ+tXMMLvXvT4x/lBZn500YAnu3enW4tzjtT/5ofmLpmTb75bFfCfh5ZPE7bbhVQ0jlT85Z35fTXv/cZflrwGwAhl99B9XptKz6wEkjd8g2pm5bySI0adKoWlFu+IDmJeUlJ+coLUtLlvWV3ZgZPHTmiMeNFOeOm+lUDsDW+OLfckXCQhMWvq2/KkRJ0HxYZVY8mzS/MffxrjW8BaFirLu2atvRWWMXyzc9rgfyx5pQ3CjNoX9ucW14n2AAgunptWkc1L7L+7/dkn2UQGR1O/QvqeSzuc13NOvXzbHMiJdUoKpT2zaK8HUah6mzYDUDtGhE0bxCdW77+9+oANIqMoH39+kXW8/X2HQA0qBGeZ/k6YX8CxZ/PpPLSnFm5/HufYfvq7LnAElITS1RTb4VVLPY9PwNQz2KlZUBAbnnNVMtZywtS0uVFLNVr4e/j46Oq8f0LbkRERERERETOAUrQRURERERERHyAEnQRERERERERH6AEXURERERERMQHKEEXERERERER8QFK0EVERERERER8gBJ0ERERERERER+gBF1ERERERETEByhBFxEREREREfEBStBFREREREREfIASdBEREREREREfoARdRERERERExAcoQRcRERERERHxAUrQRURERERERHyAEnQRERERERERH2DxZuMxMTHMmjWLYcOGMW3atDzPPfjgg0yZMoVBgwYRGxsLQFxcHE899RRLly4lLS2Npk2bMnPmTC6++GIvRF8xflm3gjnvvIzb7eJk/LEy1/f1xjWM/WAyLrebLGcWj90aw4Drb+KVj9/loxVfsOvwAeY9M4kbL7+2TPUfSYwHYO0fv3Bn5560HXYTuw8fIMvpBGB3oguAhm+cwt9ikJLhBuC5byczbcM8AOyOdA4kHWHTw59z1ycjyHQ6AMhyOdkRvze7vanf8820lRgmg4Bq/tw+5ibqt6rLmwPfJeXEqdzyTgM6lH6lSbG8N/EZNq75hhNHD/H6rBU0Ou+CQstF/ik9M4s7x3/O1v3x2Pwt1AytxtRHutK0bljuMt9t2scNT3/M68Ou5b+3XFKi+hNS7Fw3Yi4Ax06eBuCF9z+gwwUteWv+Qrbs3kOaPR2Ah+Z+zPNfLcFm9QNgZLcu3HHxxew8dpxBs2YRn3qa/QkJBPr7E/rLr7hOpWBxubi+RQtajBlL4uk0AJ779n889tUENj38OfuT4nhy6SsA9O3bl6lTp3LttaWbZ8V3zJg0ijfHPJhnbhv76B0kJRzHMJmwBQZx92PjvByl5Jjx2Dz8Av1o2+UCUuJTWfvJBtZ99CsnUh1E2MIJiC7b55M7K5MTX7yCI/4AhsUPc2Ao4V0fwBpWp8yxZx7dDcAf6en0ql49t/ygIxOANadPk4mbZ48e5X916nJ9cDCDDuzncFYWQabs43E3h1TPX3EpLUxOytOW2+3m7YR4vkpJwc8wEWY2E1u/vsfaE+9JWv0BKRsWAuB2ZJCVdNTLEVV9Xk3QAaKjo5k3bx6TJk3CZrMBkJ6ezpw5c6j/j4F98uRJrrjiCjp37szSpUuJjIxk586dhIWFFVR1ped2u3lzzEM8P2UhDZu2ZOb/xvDl3GnYMzNKXd+QV0fyzcszaN3oPPYfi6PNvTdx0+XX07ltB/p06s6wN0aXKd6c+r/6aSVjP3iLWcsWMeHux+l3bS/uuKYHlz10O8mnTzF5Qyajrw4A4OPbbCze4WDU95mMve5h/tOqCwDTfprLTwc3E2YL4cu73slt56u/VvLs8knEp52kc8wVXNU3O/ne9M0fzHpiPqOWPsbQtwcQGGLLLf/spSWlfl9SPB079+LmAQ/yzLAbi1Uu8m/39mhL90sbYxgGby36hXsmLmHl6/0BSD6dztPvr6LHpY1LVXdEiI3f3hkCwLjZPzAqdg1N69UlJKgandq34clB/Zi9dDnvLlpMSno63w//L22jo/PUMWzOHO698kpiLu9IzSeeBAPeeOMNUpcs5o727QH4dNi9fLnld15bvoI2US2wmCyEBgTTZeGzPNxxAM8sn8RLL71ETEwM27dvz/3ck8qpz5DhfDk37wGGJ8ZNp1pwdiK0fuUSJo97lIeefcML0UmOEydOABDZICK3bNErSwivE8qEJ19l6BufEv/Fq9S9730Mc9l2jYPbdCWg8cUYhkHKL1+SsPR/RPV7qUx1ZiUfI/Poznzlp5xO1v39hWCay8WCpGTaBATkWeapyJpcHxyc+3hafHyZYgGIc2Tma+ujpJPsyMjg80aN8TMMTmRllbkd8Q2hne4iqFVnAJJ/Woh9109kHPrTy1FVbV4/xb19+/ZER0ezcOHC3LKFCxdSv3592rVrl1v28ssvEx0dzcyZM7n00ktp1KgRXbp0oUmTJt4Iu+IYBqdPJQPg+Dsxt5rNZajOIDk1BYCUtNOEh4Tib/XjkuataVS7ngfCPVM/QJAtEH+rH0/eMZQGtermlp+0Q5bLXWhdH2/5ijsu7JmvfN6Wr2gddR4A/ja/3HL7qXQMI/v/Ocl5TjlGqd6OlECrdh2pUTP/UYKCykX+KcDPQo/LmmD8PYg7nF+HfceSc59/aPJynu13ORHBnkto2zVvBsCVbS/E8o95NfsMI1eeZY+nnOLn/QcYcNmlAAT6+ZGansGRI0fyLNepWTOq/510bzm6nTsu7MlJezKJ9iTa1WkJQIMGDQgNDWXp0qUeey/iHcHV8x8kyEnOAdJOp+Ru0+IdLpeL9957DwCz5cxu7y9fbaFxm+wDQX5htTEHh5N+8I8ytWVY/LA1uSS3z/3rtCAr+XiZ6nS7XSQs/R+2JvnPGhp3/BiXBGbPN5vT7TxTqxZ+5by9udxuRh09mq+tGYmJDI+smVsWafH6MUApB6lblmFrdpm3w6jyfGL0DBkyhJkzZ9K/f/aRkhkzZjB48GBWrlyZu8wXX3xB165d6dOnD6tWraJu3bo88MADDB06tMB6MzIyyMg4c7Q5JSU7cXQ4HDgcjvJ5Mx5kMZt4/PkpvDJyCP4BgSQnnsDPzw+Lnx9ZblfRFZxF7FMvc8f44VTzt5GUmsLsZ17HZDHn1ufGjRNXmet3/n0q+z29bs9Tv2GA2WymTS0TbosNjNMMXJTOidNuzGYzqS47TrObXw79QVJGKp2bd8BpOpPIH045zvqDv3FvxztYf2QLFsNC7GMfs339LgAefv8eDGf2B/DMJ+bmlvf5vxv58KkFuFwun+j7nBh8IZYcNpsNs8kAlwe+9XY5z15PQeUlYMKNzWbzmb4siC/2cXmz2WxgtuJwl/5LxByTPvuF3h2b43Cb+XT1NjBMdO/YggVrd+J0m8rUxsGE7CNOzRs3xPWPHUyL1YrFYsHkdjP4w49wu91c0qgh4/9zMweTThJVPQS3xYIDwIAsl4vnnnuO88PD6XzeeUT+fZTKZLUCkOHMpHPzDlhMFiKDIlh94GdsNhu///4727dvZ/fu3efU9lEZFTaOc+dMyDe3vfnCo/zx6zoAnn3tA1wuV6WYt6qiiRMnct5557Fnzx4MDAyXidPxdpwOJ8HVs8dsgNWMX/WaGKnH8TcXfvCgJBJ//Zzg8y4rU52J6z8jMPp8rP4BpJlMmKxWnP7+LEtKwjCbaRpYDSM1lXCrlRbVq+OOP4Hr72XcJhMTE+L5X2ICTfz9eTSqNuaAAGw2G6aAAJz+/iWOJ/bEcdoGBedpK9liISErixV2O8uPZp/+fFdkDbqFluEsV7dnPuvPxc9iT7LZbARYzfib3dgPbcOdkUr1hheQ4UPzWWXp45LEZ7jdbs/NRCUUExNDUlIS7777LtHR0Wzfvh2AFi1acPDgQe655x5CQ0OJjY0l4O/TaIYPH06fPn3YuHEjjz76KNOmTWPQoEFnrX/MmDGMHTs2X/mcOXMIDAwsvzfmIU6nk9GjR9OvXz9atWrFzp07efHFF3nzzTcJCQkpl/qeeeYZevfuTYcOJb9muzj1Dxw4kICAAF599VVCQ0M5ceIEkZGRZGVlMXv2bPbv38/o0aOZPHkywcHBxMTE5Gnj448/Zv/+/Tz55JP52v/uu+9Yu3Yto0ePLla5lI+hQ4cycuRIGjduXKxykX/75JNP+Pnnn3n++edJS0tj7NixjBs3jqCgIN58800aNWrEjTeW/pKJguaXlStXMn/+fB5//HGaNGmSZ17q168fEydOZMqUKUD2KbOvvPIK/fr1Y8uWLblzV44777yTjh078uijjwKwd+9ePvjgA5KSkqhfvz6JiYlcdtll9OrVq9TvQ3xDYXObPn+8a//+/UyZMoXx48djsVhy93FatmzJkCFDWLBgQe6yr7zyCu3bt+f666/3SNv/nMf8S5EIFxZ/8+bNc+fFhIQERo0axS233MLNN9+cZz8uZx/L7XazZMkSli5dyltvvVXq91RQPK1atWLgwIH07duXO+64g2PHjvH0008zevRoGjVqVOr2xLcU9NkpxZOWlka/fv1ITk4uMo/ziSPokZGR9OzZk9jYWNxuNz179qRGjRp5lnG5XFx88cW8+OKLALRr144//vij0AR95MiRDB8+PPdxSkoK0dHRdOnSpVQJbkWZP38+QUFBLFqxkcSUNM6/ZhAuYMuyDSQlJbHlq1U8d9fDJa73131/kn7yFI+0zT5t/LqWDZlbYybVD5zm2nYXAvCaKYALLTW5ztqwTPVP/HQmL82dTq3qEbn1f7r6G06nppKeno5l6WP0aJl9lInD8Oq6DJauysCd5aLZWn/Wr1nH5zHv0HTDmW9f3W43Dy9dybhuw1k/eSlvrvuAgRNu5aJebQFodUF9pr6zhd11NxMUVi33da0uqM+UaZu58847WbNmDW3atCnxe/M0h8PB8uXLueGGG7D+fbTNm+bPn8/QoUO5f+TrXHldGa8VN/vjDmuFK7JV8cpLaO/OP3n2/ptZvXq1T/RlQXytj8tbzjb07vDu3H71+aWuZ+In69m24U/WvNyf0KAtLNmxk7SkEzzz+IMAxCen8dvPPxJp/4sXBncucf2p9kxuX70Sw2ShbVQE116Sfe34txt+Yebsj0l3ZFFr+zZ6BGV/iXtJx8totWQJd7qdjE1MpMvhQ1jMZtxuN48dPEhUVBQ19u1h5J9/0uNY9unu45YsJT09nSanI2n79xzWljDOax/MbXMeZv78+QwYMIDbbrtNN4rzcQWN43/OmYXNbdfccTHTpr3DlkMOJoy4y+fnrarmnXfeITk5mfvuu4+EhARMZoMDR/bR+9GumKwGM1dMY/D19/H4nJ84tPcE+xvUYtmGsp8BlLh+Iae2/kS9fi8wanPpDwgl/fIXCYeOc+fdD+DKOI0r/TT7tm3j0ajapBw/xpODB5OYlUW6282s2FgWfPABmW430//ajiWqFndEnNmXfgSYFRfH1/fdz6zkJF6oFUXXEu4L/5wQT8KxYzzSty8A8VlZTP9rOw9E1SLQZGLgr5uI/nMrTYCLXS6SX3udJhERhVdagO3p6Qw8eKDMY+Zc+yz2pJx5Lrzbw9iaXMzuNetoEPM6//1yP8fmPO0z81ll6eOcM7mLwycSdMg+zf2hhx4C4O233873fO3atWnZsmWesvPPP59PP/20wDr9/f3P+q2l1Wr16Q7MERgcysmE4xw6sId6Dc/jZEI8brebqNAaWIyS3z6gQWQdjp2MZ9fBfbSo35jdhw+w98ghWtRrnFufgYEZU5nrd2U5sdvtnHAn0KJeYxatWc4LH75NNVsgp9JOg8NOZnoWDheEBhi4MtNJT8+kSXg0S/74npaRTWke1hCcZ+pfu+9XnE4n19S/hD/i/sJut5OSdAq3Ofv0+d+W/UG1sGpgdXMy/iShtarnltuCAziVcBqTyeRTfe9L26LdbsfpcoPJA9OCyXz2egoqLwEXBna73ef6siC+1MflzW63g9OB1XAWvfBZTFywgfkr/2TFy30JC7YCTm7q0JibPjnzhWTMK4tp27TW33dxL3k7C1f9QVRYNQ4cT8GVlYXJ7ebbjb/y/mdf0v3yy5i37DtOnz6N9e+TyxZs2Ei76GjqBgfTPjqaj9f/RJ+L2rPgl18JCQigdu3azN++g3bR0bmv2bJvPwDh/iGYndmnQB9LjcfIcmO321m0aBFBQUF06dJF1ydXEmcbx7lzJuTObadPJZORbic8MgqAn1YtJah6OAHVQirVvFVVPPTQQzz00EPMnj2bAQMGENmgBjc/2Z22XS5gz5b97Ph1N1wPKccPkXUqAXPd1mQ4yzYmUzZ8xumtq6l553iyrEFklW46BMDWtif1/j6okrRuHslrPuLWkOoMCA5mwN+X1EyLj+d/CfH0Cg7h5Tp1GHRgPwPDwrmmWhAnT5+mxt/Xgi87lUKE2Yyfw4HdbseVno65hEf2+wUF0y/ozA3nctq6PiiY7cGp/HjyJA3DwkhyOvnj9Gnurh6KOaN0NzYmI8OjY+Zc+iz2JLvdTrrDif2PtfhFNsIdVp+Mo7t8cj7z9T4uSWw+k6B369aNzMxMDMOga9eu+Z6/4oorck+Bz7Fjxw4aNGhQUSFWuGpBIdz/1Gu89sy9GCYTSQnZNxqJCAktVX21wiJ46+HRDJjwBCaTCZfLxcT7R1K/Zm1emjudd5fMJz75JFv37+KxqS+y/q35RFYPL1X98SknAeh/3Y3Ur1mbFoO7YRgGLld2Mh2zKJ31d5u458t0nC44djp7J2dA25uYt+Ur+rbpna/+eVu+4vbWPTD948uDFTPWsHruTxiGQXBENR58fzDppzKY/uBHODIcueW3j76R9x+dW6r1JsUz9aUR/LJuBUmJx3n+v3diCwxiyoL1BZaL/NOhEyk8/s53NK4dSucn5gDg72fmp8lnP0OqtN7/egsXNavFgeNnvsl+/r1YIkJCWLb+ZwAemjefN7/7HpNhonGNGnwQkx3DO/37ETPrA8Z+tYRjKSkE+vvzyCOPUMOAT/++H8qw2XP4cssWAKb+NJePf1/K2mFzmfPbl8z7/SsA1qxZw2effabkvAp4//VnSEs7lTu3jZn8Ca89M5TMjHQMk4nqoRE889qHuEp5XxcpP7c81YPX+kzl/vvv52RqJjV6PVHmO7hnpcRz8vv3sYRGcWzuSAAMs5Xad030RMglkul2c/+hQ2S63ZgMCDWbebtuPVamppZLe49F1uSZI0eYm5S9/3dPeAQX6lcqqozTW5YR1CZ/fiblw2cSdLPZzLZt23L//2+PPfYYl19+OS+++CK33347GzZsYPr06UyfPr2iQ61QV3X5D1d1+Q8An8ycxNzpL5epvjuu6cEd1/TIV/5033t5uu+9Zar7n/W/NG86Yz94i44t2wKQ9tVmgNzy2JsDuKiOhU3DggAYtzqdUd9nEhEYyqKBU89a91s35r+G78bHunDpze3zlY/8PO8lAAf+OFSWtyXFcP/Tr5aoXOSf6kWG4F7+dJHLxT5Ztmu21705kHGzf+CzH878ZNGqd/4HwKzFX/PuosXMHDSQ/pdemu+1zaNq8eNTI3Ifv7h8Ba0G3kXqksU0rJF9Guc7/fsRHRbGqC++ZHyXx3J/NvKxKwdzfdPL6TFrKJMmTSL6Xz/hJpXT3Y+P5+qut+Ype2XG1/mW2719S0WFJIXo8dB1tO2S/VvnIZHBXHX7ZQy8YigPzlqHpcGFZa7fElKDBk8tLnM9hbngXz+jluOqatmX9s2qf+bA1ScNG+ZbzpMJ+j/bCjWbebte2X8NSHxT1MDXvB3COcXrP7P2TyEhIQVeG37JJZfw2WefMXfuXC644AJeeOEF3njjjdw7v4uIiIiIiIhUZl49gh4bG1vo84sWLcrzuFevXrrjrYiIiIiIiFRJPnUEXURERERERORcpQRdRERERERExAcoQRcRERERERHxAUrQRURERERERHyAEnQRERERERERH6AEXURERERERMQHKEEXERERERER8QFK0EVERERERER8gBJ0ERERERERER+gBF1ERERERETEByhBFxEREREREfEBStBFREREREREfIASdBEREREREREfYPF2AFKwE0cPsXv7ltzHifFHAdh3LI5Nu7Z6K6xiOZJwHMgfa0753pNufj3izC0/fMoNwMHkI/x+dHuR9R9LjQfgxMFEDvxxqOh4dh0vfvDnsOOHD+TZ5nzRoX07vR2CFGLv0SR+3XnU22EU6nBCKgBH4hPYvv9gbnl8UjIAe08k8OuBA0XWcyQpmVbA/vjEPMsfPpkE5J/PdiXs90D04kuKO2dq3vIN/95nSDp+CoCslOM4j+7yVljF4kxNAOBQloOt6em55cedWWctL0hJl/eW3ZkZ3g5B/paVfIyMf4wPR8LBQpYWj3CfQ5KTk92AOzk52duhFGr16tXuRYsWuW02mxvQnwf/duzY4e3udbvdbndmZqZ70aJF7szMTG+H4na73e61a9d6vW8qa18WxNf6uLxVxm2orH82m61Uc7Wvb7tyRkHjuLTbu/reOwrqr9KOYf1V3F9Zx8y59lnsSUXNc74yn1WWPi5JHqoj6D6oQ4cOLFmyhNWrV2My5b0KISEhgYiICC9FVjIFxVrS8pLWX5Dg4GCaNWtW7OXPJVdccQU7duzg1KlT3g6lWNSXvqeybUOemIdcLhdxcXElmqu17VYNpdne1ffeU1B/FTaGfZG39p+8RWPGuwqb59Q35UsJug9r06YNVqvV22HIOUITrZTVubYNORwO4uLiNFefo8617b2yO1t/aQyLFE7znHf4/teFIiIiIiIiIucAJegiIiIiIiIiPkAJuoiIiIiIiIgPUIIuIiIiIiIi4gOUoIuIiIiIiIj4ACXoIiIiIiIiIj5ACbqIiIiIiIiID9DvoPuwzZs3YzJV/HcoCQkJREREnDPtBgcH63ceRaRC7Ny5k1OnTlV4u742z3lrPZSUy+XydggipVZZxpmvzU++xpv9qL7xDiXoPmj9+vUAdOrUCbvd7uVozg07duzQBCQi5eqHH37gyiuv9Fr7vjLPeXs9lITNZmPu3Lns3r2bFi1aeDsckWKrTOMMfGd+8jW+0I/qm4qnBN0HHThwgKCgIGL63MclbS6v0La/XP4pn309jxd696ZH61YV1u57a35g6po1PFKjBp2qBVVYu7szM3jqyJFK8Q2ziFRu+/btA2DEVXfTuXGHCmt3V8J+Hlk8zmfmuZz10Ht4F1p39u2k98TuRABSU1O9HIlIyeSMs5q31CT4wmDvBlOIjMMZHJp+yGfmJ1+T04/VrxqArfHFFdq2I+EgCYtfV994gRJ0HxZVsw7Nm7Ss0DbX/7IGgEaREbSvX7/C2q0T9icA9SxWWgYEVFi7IiIVLbp6bVpHNfd2GF4XGR1O/QvqeTuMQpncZtBZ7lKJ+dXww9bQ5u0wpIws1WvhH9XU22FIBdFN4kRERERERER8gBJ0ERERERERER+gBF1ERERERETEByhBFxEREREREfEBStBFREREREREfIASdBEREREREREfoARdRERERERExAcoQRcRERERERHxAUrQRURERERERHyAEnQRERERERERH6AEXURERERERMQHKEEXERERERER8QFK0EVERERERER8gBJ0ERERERERER9g8XYAUjaZjkwmz3yFDZt+wM/qT9NGzXn6wed57rUn2HdoN/5+/oRWj2DEfaOoV7uBx9ufue5HhnzwIZ/ddy83t23Lhr37eGT+fDKyskh3OBjcsSNPdu3i8XYXJifx7NGj/K9OXa4PDub/jhxhkz2NAJOJQMPE0zVr0tpm83i7IiIV4bvdP/Lqmvdwud1kuZzcd+md9GndnfjTJ/nvV+PZnxSHn9mP8V0eo0N0W2+HW+HeHPguKSdOYZgMAqr5c/uYmwivE8ob/afnLpNpdxB/MJFXfx5NtdBAL0YrUjntfXUvWclZGIaByWaidv/a+Nf25+DUg2QczsDkZ8IcYqbOXXXwr+Xv7XDlX9xZDk5+/x72vb9imP3wq9mIGr2f8HZYUgxeTdBjYmKYNWsWw4YNY9q0aXmee/DBB5kyZQqDBg0iNjaWMWPGMHbs2DzLNG/enL/++qsiQ/Y5Uz+YiIHBvClLMAyDhJMnALixSx86XnQVhmGw4KvZvPTWc7w1Ptajbe+LT+DdtWvp0KhRbtm9s+fwfO9e3NjmQhJPn6bFmLH0at2alnVqe6zdOEcmC5KSaRMQkFt2fXAQz0dFYTEMVqam8tjhOFY0aeqxNkVEKorb7eaRxeP4pO//OL9mEw4mH6HzuwPpft7VTFj1Du3rtOSj21/jtyPbGLrwWdbd9zFW87n1ffvQtwcQGJL9Jeymb/5g1hPzGbX0MZ5d8ljuMsumr2LnT3uUnIuUUv0H6mOuZgYg5ZcU4t6Lo/GoxoRfE07QhUHZ+50rEoibEUfjkY29HK3828lVsYBBnaHTMQwDZ+pJb4ckxeT1U9yjo6OZN28edrs9tyw9PZ05c+ZQv379PMu2atWKI0eO5P6tXbu2osP1Kfb0NBavWMiwAY9iGAYAEWGR+Pv5c/nFnXLLWjVvw5HjcR5t2+Vycc9HHzH5jjvwt5zZMTQMSLKnAXA6IwM/s4Xwap7bOXK53Yw6epRnatXC7+/3B3BtUDCWvx+3CQjgeFYWWW63x9oVEalIBgbJGacASM1II9QWgp/FyuK/vmdA25sAaFv7fGoFR7D+4G9ejNQ7cpJzAPupdP7xcZBr3fyNXHHHJRUYlUjVkpOcAzjTnACY/EwEtwnO3ccMbBKII97hlfikYK7MdFK3LCO00125fWUOCvNyVFJcXv/KvX379uzevZuFCxfSv39/ABYuXEj9+vVp9I8jswAWi4WoqChvhOmT4o4eJCSoOh8smM7Gzevx9/Pn7jsf5OI2HfIs98mXH3HVZdd6tO2JK77liiZNuKhB3i9RZt41kJumvsOzn3/JidRU3unfl6jq1T3WbuzJRNrZbLT6x9Hzf/sw6SRXBQXlJuwiIpWJYRhMuWkM9342ikBrAMnpp5j+n3Gczkwjy5VFzaCI3GWjQ2oTl3LMi9F6z8zh89ixfjcAD80Ykue53b/sIy05jdbXnu+N0ESqjEPTD5H6VyoADR9rmO/5+GXxhLQPqeCopChZSUcwBQST/ON80vf/hmHxo/oV/bA1bOvt0KQYvJ6gAwwZMoSZM2fmJugzZsxg8ODBrFy5Ms9yO3fupE6dOgQEBNCxY0cmTJiQ7yj7P2VkZJCRkZH7OCUlBQCHw4HD4fvf9pnMJlw4C3ze4czk6InDNIhuxLC7HmXHnm0Mf24YH0z+jPDQ7B24Dz55l0NH9/PGA+8WWlcOi8WMzWYDiwVHAQnuH3FxLNj0G9+NeByHYeA2IMswcBgGL36zjBf+cxN9L72UPSdOcP3rk2jToGGRp7ibrFZsNhumgACc/me/jmlnup1lp08T26QpTsPAbTLhslrzLP/lyZN8fSqVmU2a4LRai3y/uN3YbDZcLleFbhM5bVWG7VBKR31c9ZWmj202G4bVhNNc8Bk+Wa4s3vzxA6bd+gKX1W/D5sPbuOeT/2PJ3e8D5Hmt23DjNrkLrc9tMbwyzxXGZrNhMSwYztKfyDfk1X4A/LhwI5+9tJSH378n97l1836mw38uxmJYKcZHX4FM7uwjiL607sRzqvo8bbPZCLAE4E/prw9vcm8TABLWJnD8k+M0G94s97kjXx4h63gWjWMaYyrlSbkuk6tc56eq0Mc2m40Aqxn/Qub5f3MbWThTjhNYM5qo6waRfnQ3h+aOouHQt7EU80i64YOfHWdTWfq4JPEZbrf3zgOOiYkhKSmJd999l+joaLZv3w5AixYtOHjwIPfccw+hoaHExsaydOlSUlNTad68OUeOHGHs2LHExcXxxx9/EBwcfNb6z3bdOsCcOXMIDKz816SlpKQQExPDJ598gtmcvRPxxBNPMHDgQNq0acOiRYtYs2YNY8eOJSgoyGPtLl26lPnz52P5+9T2pKQkAgMD6dGjB5988gkLFizIXfaVV16hbdu2dOlS9hvFFdTunXfeSffu3Vm7di2zZ8/m+eefJzIyssztiYh4w65du5g4cSJTpkzJLXviiScYMGAAEyZMYNq0aYSFZe9gjRgxggEDBtCmTRtvhesTbr/9dt577z1CQkKw2+0MHjyY1157jXr16nk7NJEq45/jrLz2McUzisoRpOKlpaXRr18/kpOTCQkp/KyTUh9Bz8rKYuXKlezevZt+/foRHBzM4cOHCQkJKfFAjYyMpGfPnsTGxuJ2u+nZsyc1atTIs0z37t1z/3/hhRdy2WWX0aBBA+bPn8/dd9991npHjhzJ8OHDcx+npKQQHR1Nly5dilwx3jR//nyCgoL4/cfdXNPxhgKXiwiBi1pfxu5NR+l48VUcPnaIE8fiaV3vcpZ//g3rVv/E5OdnERxU/Pc6d+FMZn4yjXcH9uf2iy466zI92rdlcvu2uY+vf30iD193Lb0uvJCvP/8c26rv6dyiBfGpqRzcto2XrryCDseOFNruq8uWM27JUl6oFUXXAvrmIeCh6DNnTAxOS2NAaBjX/bier5d+zfyjR4ht3IQ6k98q9vvdnp7OwIMHWL16dYVOWA6Hg+XLl3PDDTdgLc6Rfql01MdVX0n7eP78+QwdOpRXuo2g9/nXFbhc3dQmPBd/kqAlyTSt0ZB9iYc4cegYN5xoye/ndea391fxWKfBbD68jZQjJ+mXdiXWDQV/nP95bCe3zXm4wue5guSsh4ETbuWiXm1L/Pq0FDuZ9kxCa2VfPvXb8j8IDLOR1vEYduM4a+f/RN1WUVi7pXOMXWWKNe7Po7R3X0nt2rVp165dmeoS31OV5+mccVZ3cF2qX1rySw2zTmfhynThF+YHQNIvSbiruXnD+QbH5x0n8cdEmj3ZjElZkyCp9HHaD9jZO2Fvuc1Plb2Pc/oxvNvDVDv/qhK8MoyABhfy8MdbCGp6MY6ko+yPO0ZsfAOsG8xFvxzIPLaHY3Oe9pnPjoJUlj7OOZO7OEqVoO/fv59u3bpx4MABMjIyuOGGGwgODubll18mIyMj3x3Zi2PIkCE89NBDALz99ttFLh8aGsp5553Hrl0Ff/j6+/vjf5bTpa1Wq093YA6X04WJwgfRiPufY8Jbo5j2wRuYTAYj7n8Ow23i7ZmvUadWNI88m/3lhZ/Vj3dfnVdkm1lZzuwb9mVlYS3myRWGGyxuNwGGwfyh9/DUpwvJcrpwOJ3897pruapxIyiiLpfDgd1ux5WejrmAU9zztetyYXI4MGdkMPLAfmpYLDyyd0/u8zOj6xNqLmISysjAbrdjMpm8sk1Ulm1RSk99XPWVpI/tdjtuhwuzs+B7ZETZInip6wgeXDgGk2HC5Xbxwg3/pX5QFM9cfR+PLh7HNVP74Wey8r9ezxJA4adxG1lur85zZ2O328lyZ+E2u0r82rTTaUx/8CMcGQ4MwyA4ohoPzhgMFjdu3PywYANX3nlpqer+N5fhBDc+te7E86rqPG2320nPSieAgu/bU5BMeyYH3z6Iy+HCMAzMwWbq/7c+p0+e5tC8Q1gjrWx/KfvMV8Nq0GR0k1LFmOGqmP2wytzHdruddIcTSyGfG2cT2uUhEpa+yYnvYsEwCO/6EK7AGmQU87KfDB/87CiMr/dxSWIrVYL+6KOPcvHFF7N582YiIs7crOY///kPQ4cOLU2VdOvWjczMTAzDoGvXrkUun5qayu7duxk4cGCp2qsq6kZF89a42HzlPyz6s8JiWPn4mZ+1uf78Fvxy/sgKaXdW/TO/676leYsKaVNEpCLc3PJ6bm55fb7yyGrhzLljohci8h0R9cIY+fnDBT7/5KcPVmA0IlWTXw0/mjx39qT7gtgLKjgaKQ1raBRRfSd4OwwphVIl6GvWrGHdunX4+fnlKW/YsCFxcaX7OS+z2cy2bdty//9vTzzxBL1796ZBgwYcPnyY5557DrPZTN++fUvVnoiIiIiIiIgvKVWC7nK5cDrznx9x6NChAm/YVhyFXRd+6NAh+vbtS0JCApGRkVx55ZWsX79eNwMTERERERGRKqFUCXqXLl144403mD59OpD9m62pqak899xz9OjRo9j1xMbGFvr8okWLcv8/b17R10+LiIiIiIiIVFalStBff/11unbtSsuWLUlPT6dfv37s3LmTGjVqMHfuXE/HKCIiIiIiIlLllSpBr1evHps3b2bevHls2bKF1NRU7r77bvr374/NZvN0jCIiIiIiIiJVXql/B91isTBgwABPxiIiIiIiIiJyzip1gr5z506+//57jh8/jsuV97dGR48eXebARERERERERM4lpUrQ3333Xe6//35q1KhBVFQUhmHkPmcYhhJ0ERERERERkRIqVYI+btw4xo8fz1NPPeXpeERERERERETOSabSvOjkyZP06dPH07GIiIiIiIiInLNKlaD36dOHZcuWeToWERERERERkXNWqU5xb9q0KaNGjWL9+vW0bt0aq9Wa5/lHHnnEI8GJiIiIiIiInCtKlaBPnz6doKAgVq1axapVq/I8ZxiGEnQRERERERGREipVgr53715PxyEiIiIiIiJyTivVNegiIiIiIiIi4lnFPoI+fPhwXnjhBapVq8bw4cMLXXbixIllDkxERERERETkXFLsBH3Tpk04HI7c/xfEMIyyRyUAHD1+mO27t1ZomycSjwOw90QCvx44UGHtHj6ZBMChLAdb09MrrN3dmRkV1paICMDB5CP8fnR7hbW3K2F/hbVVEicOJnLgj0PeDqNQJ/YkQkNvRyFSepnxmdj32b0dRoEyDms/rDiyko+RcXRXhbbpSDhYoe3JGcVO0L///vuz/l88r379+iQmJhL7yTSmfjDJKzGM+vJLRn35ZYW3+7/4eP4XH1/h7QYHB1d4myJybmnYsCEAr655n1fXvF/h7fvKPJezHr6cuIwvJ/r2T7babDZ6zr2NoKAgb4ciUiI54+z4wuMcX3jcu8EUg6/MT74mpx+T13xE8pqPvBKD+qbileomcVK+OnTowJIlS1i9ejUmU8XfJiAhIYGIiIhzpt3g4GCaNWtW4e2KyLnliiuuYMeOHZw6darC2/alec6b66GkXC4XcXFxNGnSxNuhiJRIZRpnvjQ/+Rpv96P6xjtKlaCfPn2al156iW+//Zbjx4/jcrnyPL9nzx6PBHeua9OmTb7fmBcRkcpLOzrZKst6cDgcxMXFeTsMkVKpLONMCqd+PPeUKkG/5557WLVqFQMHDqR27dq67lxERERERESkjEqVoC9dupSvvvqKK664wtPxiIiIiIiIiJyTSnWBc1hYGOHh4Z6ORUREREREROScVaoE/YUXXmD06NGkpaV5Oh4RERERERGRc1KxT3Fv165dnmvNd+3aRa1atWjYsGG+G5n9+uuvnotQRERERERE5BxQ7AT95ptvLscwRERERERERM5txU7Qn3vuufKMQ0REREREROScVqq7uG/cuBGXy8Vll12Wp/ynn37CbDZz8cUXeyS4c93mzZsxmUp1m4AyCQ4OLtffXNy5cyenTp0q9vIJCQlERESUWzyeUpI4XS4X4Jk+Lu/1UxHr31t9XJ7terKPC1LeY7UqK+k8dDal6eOqMF49obLEWVgfl/Q9VJbx6omxUREqy/r0pJL2zbm4jgrirX1qT6gs82VhKmJ/q0pxl8Ill1zi/uSTT/KVf/rpp+5LL720NFVWiOTkZDfgTk5O9nYohVq9erV70aJFbpvN5ga88rdjx45yeW9r16712nvypT+bzeb1PtZf1ejj8hqrVZmn5iGN46r/5+k+9vXxWtk+o8u6PjMzM92LFi1yZ2ZmemgNlp/S9o2vb3PlzRf2qfVXvn858/S2bdu8vbkVqiR5aKmOoG/dupX27dvnK2/Xrh1bt24tTZXyDwcOHCAoKIhnu3enW4vzKrTtbUeOMmBmbLl9e75v3z4AnrvrIbpefGWRy8d+s5DpX82n771P0f7y68olJk9Y8cVsvlk4i86dOxfr22qLJXvoDR48mKysrFK3++uvv/Lzzz/Te3gXWnduUep6CrJm3gbWzF5fbvX/s42h/R6h40VXlUsbZ/Pl8k/57Ot5dLvgPFrUrunx+s1WPwAe6NwRpyPT4/UfT0llzk+/VYojXb4mZx56IeYqelzapNT1uAwLccDqif0xuYsex+8t3czULzdR85aaBF8YXOp2C5K4KpGT358s1/HqCTlj3tfndQATbsDOuKmLcHHmRrk5c35x54/KMl5zxkavSwbTKvpS7wZTiKNJB5j13QSfX5+elNM31a8agK1x0WeqOhIOkrD49XNqHZ1Nzj51yOV3UL1eW2+HU2KpW74hddNSnx+ThVn31xLWbP2SFzr706NZqVLPQm1L8gcgNTXV43V7S6nWkr+/P8eOHaNx48Z5yo8cOZKbeEjZNagRTvv69b0dRrloWKsu7Zq2LHK5b35eC0DNOvVp0vzC8g6r1H6t8S0AYWFh1K5du8jlc06zqlWrVplOzQkOzt7Jj4wOp/4F9UpdT0HCav1VrvX/s406terSvEnR24SnrP9lDQDh1QKpF1bd4/Ubluxft6gTGoI7y+Hx+qXsGkWF0r5ZVKlf73CbiUuDNk1qYTWcRS5fZ8NuAPxq+GFraCt1uwWxbsne5spzvHpCzpj39XkdAFcWnPiZRs1agenM/k3OnF9e84e3RQRFER1ZsQcIpHgs1WvhH9XU22FUOpaQmlgq4Xqz7/kZqNxjsvqBDQA0CjNoX9vs8fpdFhNxHq/Vu0p1MUaXLl0YOXIkycnJuWVJSUn83//9HzfccIPHghMRERERERE5V5TqcPdrr71Gp06daNCgAe3atQPgt99+o1atWnz44YceDVBERERERETkXFCqBL1u3bps2bKF2bNns3nzZmw2G4MHD6Zv375YrVZPxygiIiIiIiJS5ZX6gvFq1apx7733ejIWERERERERkXNWme7otnXrVg4cOEBmZt47FN94441lCkpERERERETkXFOqBH3Pnj385z//4ffff8cwDNxuNwCGkf0TJE5n0XezFREREREREZEzSnUX90cffZRGjRpx/PhxAgMD+fPPP1m9ejUXX3wxK1eu9HCIIiIiIiIiIlVfqY6g//jjj3z33XfUqFEDk8mEyWTiyiuvZMKECTzyyCNs2rTJ03GKiIiIiIiIVGmlOoLudDoJDg4GoEaNGhw+fBiABg0asH37ds9FJyIiIiIiInKOKNUR9AsuuIDNmzfTqFEjLrvsMl555RX8/PyYPn06jRs39nSMIiIiIiIiIlVeqRL0Z599ltOnTwMwduxYevfuzVVXXUVERATz5s3zaIAiIiIiIiIi54JSJehdu3bN/X+zZs3466+/SExMJCwsLPdO7iIiIiIiIiJSfCVK0IcMGVKs5WbMmFGqYERERERERETOVSVK0GNjY2nQoAHt2rXL/e1zERERERERESm7EiXo999/P3PnzmXv3r0MHjyYAQMGEB4eXl6xSQnMXPcjQz74kM/uu5eb27blspdeISMrC4Asl5M/Dx9h87P/x4X16nk50myb9/zFmwtn4XK7yXJm8ditMQy4/ibunTiKTbu2YjKZsJgttGrY1KPt/vrjd8yd/hJZDgd+ATbue+pVGjVr5dE2irJz506+//57/P39SUtLo2PHjrRt2zb3+b179/Lhhx/SpUsXOnToUKa23hz4LiknTmGYDAKq+XP7mJuo36pu7vPrPtnIB09+wn3v3EXbLhd4rP7/u3ICVj8z1gArAN0e6MzFvdoWXlkRMh2ZTJ75Chs2/YCf1Z+mjZrz3GMvc+vQG7Ba/fD38wdg4G1Duf7K7mVqqzSynE6+2LyNHUdPYDGbqRNWndG3x/DX4WMs3bwVp8uF1WzmtotbUyc0pMLjk5JLz8zizvGfs3V/PDZ/CzVDqzH1ka40rRvGNY/PZv+xFLCFMdqURkyXC3js1ktL3ZYr08XBqQfJOJyByc+EOcRMnbvq4F/Ln7Q9aRz56AjuLDduh5vQq0KJ7BHpwXd6RkFj2pGRxYLxi9m6ZjtWfyv1WtRmyBt9yyWGknpv4jNsXPMNJ44e4vVZK2h03gVkZqQzcfR9HNy7Az//AKqH1WDYiJepHd3II21mpNsBWPL7X6zcvofMLCeJp9MYc+P1ON1u5m3YTELqacwmE7dcdAH+llJdUVgpjZ7dD4vZitWSPSd3aduXi5p25s8DP/Hlxhm43W5cLifXtbmdDs27FlGbFObYx6Nwnj4JhoHJz0b49cPwq9XE22GdUw5NHYJhsWJY/ACo3qEP1c7v5OWoCuZwZvLZj9PYdvBnLBY/6oU3ZtB1/8cnP7zF7/vWkZh6jKdvfYd6NTy7/12Q9Cw3dy6ws/WEC5sValYzmNrTRtNwE8dPu7jrMzu7T7rxN8OUngF0anBuzKUlepdvv/02EydOZOHChcyYMYORI0fSs2dP7r77brp06VLi689jYmKYNWsWw4YNY9q0aXmee/DBB5kyZQqDBg0iNjY2z3MvvfQSI0eO5NFHH+WNN94oUZtV0b74BN5du5YOjc7sePz09JO5/1/wy6+M/WqJzyTnAO9+NZ/vX/+Q1o3OY/+xONrcexM3XX49r9w7gtCg7OTlt93b6Pz4XR5rMzUliTfGPMi4qZ9Rv3ELtv62njfGPMCbs1d5rI2iuN1uFi5cyODBg+natSsrV65k8uTJnH/++fj7+5Oens6KFSto1qyZR9ob+vYAAkNsAGz65g9mPTGfUUsfAyD+UCJr522gUbv65VL/PW8NILplnTK+gzOmfjARA4N5U5ZgGAYJJ0/kPvf8E69xXuPzPdZWaXy1ZTsG8FT3azAMg1MOJ6mpqcxe9zMPdO5IVPVg9pxIZPb6TYzodrVXY5Xiu7dHW7pf2hjDMHhr0S/cM3EJK1/vD8Cr992Atd0AegRuxGo4y9xW+DXhBF0YlL19r0ggbkYcjUc25vDMw9S8pSYh7ULISs1i58idBLcJJqBuQJnb/LeCxvRnryzBMOD5757EMAyST5zyeNul1bFzL24e8CDPDLsxT/kNNw2gfcfrMAyDJZ+8z5QJw3lhymceadM/IHsd9WjdgvYN6rLyr93sPpFIoL8fH2/YTP3wUIZ2upQDiUnM+uEX7rq8vUfarSyGXD8qzw6+2+1m1ncTeLT369SNaELCqaO88HEMbRtdRYBfoBcjrdwib3oKU0AQAGk71hH/1STqDHnLy1GdeyJvfAq/WpXjV6y++Ok9wGD0nbMwDIOUtEQA2jXqxPVt7mDS549WeEz3XmSle1NL9ufshkzu+cLOyphqPL0igw71zHw9IICNcU7+83Eaex8Nwmqu+vc7K/HvoPv7+9O3b1+WL1/O1q1badWqFQ888AANGzYkNTW1xAFER0czb9487HZ7bll6ejpz5syhfv38icPGjRt55513uPDCC0vcVlXkcrm456OPmHzHHQV+Q//+unXcfcXlFRxZ0ZJTUwBISTtNeEgo/la/3OQcIOV0ybenwhyN20dw9TDqN24BQMu2HYg/Gsfu7Vs82k5RDMMgPT0dgIyMDAIDA7H83XdLly6lU6dO2Gw2j7SVs6MNYD+VTs53aC6Xi4+eXsAdY27C4lf6byMLqt/T7OlpLF6xkGEDHs39IjAirHyOIJZGRlYWG/YepHvr5rnxhdgCOHr0KIH+fkRVDwagcWQ4SWnpHDqZ7M1wpZgC/Cz0uKxJbp92OL8O+46VT9+Z/EwEtwnObSuwSSCOeEf2kwY407K/AHBluDAsBuZq5nKJ42xjOiMtk3XzN3LTE91y46seGVwu7ZdGq3YdqVEz75eBfv4BXHT59bnxnnfBRRw/crDcYtiw9yCXNY4GYPOhI3Rskr3/Uj88lBCbP3EnU8qt7crEnpH9C0Dpmaep5h+CxWz1ckSVW05yDuDKSKPcPoSlSshw2Pnxr6X0vnTImX2VwOwzoZvWuZCwoIrfrwqwGPRoZj3zOVvPzL4kFwDz/3Rw38XZZyZcUtdMnWCDVfvL/mV4ZVCm8wRMJhOGYeB2u3E6S7fC2rdvz+7du1m4cCH9+2cflVi4cCH169enUaO8p6KlpqbSv39/3n33XcaNG1eW0KuMiSu+5YomTbiowdmPgh5MTGTVjp18ODimYgMrwv29+3Hn+OEE+ttISk1h3rOT8LNmf1A/O/MNFq5ZRlJqCrdf050Pli3ySJu1oxtzKvkkf23ZSIsLL2HDmm+wp6Vy4shBmjSvmC98DMPgtttu4+OPP2bx4sWkpKRw++23Yzab2bp1K4Zh0Lx5c7Zt2+axNmcOn8eO9bsBeGhG9o0eV7y3hiYXNaRB67KfVXG2+gFih8/DDTRsE81/nuxOcERQATUULe7oQUKCqvPBguls3Lwefz9/7r7zQS5uk30JwLg3/w+3203LZq25767HCKtesZfeJKSmEehn5dttu9l5LB6r2USXC1vSqXZt0jIy2RefSMMa4fwZd4yMrCxOnk6jXlj1Co1Ryu7Nz37mpo5nzm555v3vSTdt4KNG1Xj57qtpXDvUY23FL4snpH32F5Z1767Lgf8d4Pinx8k6lUWdmDpYQ8svsfn3mD6xP4HA6oF8PeU7tv2wEz9/K73+ewMtrvDMmT4V4av573Fpp27lUve++ETsjizOr12T0xmZOF1uQmxnzm4ICwzk1N9fyp4rPvj+pez5P7I5N142lGBbKEOuH8W7y5/DzxKAPSOVe7qMUYLuAfGLXyf9wO8A1OwzxrvBnKPiv5oIbjd+tc8j7JoYzIG++fken3KYQP9glm2aw1+HfsXP4kePiwbRvJ7vnOHz5k+Z3NTcSkKaC4cLooLOHEtuGGriQLLLi9FVnBIn6BkZGbmnuK9du5ZevXrx1ltv0a1bN0ymEh+QB7LvDj9z5szcBH3GjBkMHjyYlStX5lnuwQcfpGfPnlx//fXFStAzMjLIyMjIfZySkv0NtsPhwOFwlCrWCmWx4Cjk29A/4uJYsOk3vhvxOA7DwG1AlmHkec3763+ix4WtqR4cTHHesctkxmaz4XK5ym0dBQQE8OX67/nomde58oKL+GXHH9zx/H9Z//Yn1KgexpiYRxgT8wjfb1rPfW+MJiAgALPJAFdWmdqtFhjIiHHT+GjqONLtaTRv1Z7ohudhMspet8WSvd6sVmuh48DpdLJmzRr69u1L7969Wbp0KbNnz+bee+9lzZo1xMTE5H7xZRhGkWPKz88Pm82GxbBgOM++7JBX+wHw48KNfPbSUm55qieblv7BiLkPYDhNGG4wXKazvt5qtpa4/offv4cRcx8gvE4YToeTRZOWMuvx+Tz8/j1nfX1OGyazCRdn/6LP4czk6InDNIhuxLC7HmXHnm0Mf24YH0z+jLdenEmtyNpkZTl4d/ZbjHtzJK+OnlLoeoMzfWbx88ewlG0n0W0yczLNTlRodXq1b82hxCSmf7+Ojnc5GHTN5Sz57Q8yHVk0qBFOrerBmCzWMrdptvqV+1itymw2G5itONzFOxL90twf2Hk4iW9e7o/DbWbGkzcTFRnKsrT27Fn+Dj2fXcCW94YVWofJkt1nAZYA/PEvcLkjXx4h63gWjWMaY8JE3Fdx1LutHuEdw8k4nsH2l7ZTvWF1bHXznmkTYA0ocrwWx7/H9E2PdSMx7iS1m0RxyxO9OPBnHG/EvMOYpSMIqVHyI+k5Y94T83o+Lme+OhfMmsyRg3sY+7+PS96ey5n337/9c/7YsC+OixpFZ88l7uzP33+Ob8NkYJgtlWa8Zr8vM4aldDcDfuyWiYQH18LpzOLLn2by4cqXua/nC3yz6SOGdh9DszoXsv/YX0xbMppn7nyXIFvJkxmz1fDI+sx5ra/3SQ6bzUaA1Yy/+Uzf1L1pOADJW74ledVM6t0xBgDD4pl1VFUEWM2YzZ6/wXX9gROwVq+J25lF/KqPSFwyMbcPPCHAz0JmGcdkDpfJSWLqMWpH1OfmK+7h4ImdTP7iKZ7t+z4hgWHZCxmA2V3mtv7J6pc9/2ENwGEqeN/npdWn2Zno5ptBodiz3EAqDtOZLztdRgZOw5qnDMBlzj7K7uvbekliM9wluB37Aw88wLx584iOjmbIkCH079+fGjVqlCpIyL4GPSkpiXfffZfo6Gi2b98OQIsWLTh48CD33HMPoaGhxMbGMm/ePMaPH8/GjRsJCAjgmmuuoW3btoVegz5mzBjGjh2br3zOnDkEBlb+a56WLl3K/Pnzc0+PTkpKIjAwkDvvvJPu3bvjdru57777uO+++2jXrp2Xoz1j165dTJw4kSlTziRRTzzxBAMGDMhzszTI/lLmscceo2lTz9+swuFwEBMTw2uvvUbt2rU9Xv/ZFPTe+/Tpw5QpU/Dzy55kTp06hcVioVu3bgwYMMBj7d9+++306dOHJUuWFLjdlLX+9957j5CQM5cqJCYm5s4dpZWSkkJMTAyffPIJZnN2QvXEE08wcOBA2rRp49G2yjM+b2xzUnaLFi1izZo1jB07lqCgs58J0qdPH95///08274n2kpJSWHIkCEsWLAgd5lXXnmFtm3b0qVLlzK1VRy3334706dPZ8iQIUVu3942dOhQRo4cSePGZ64FLU7flYXdbmfw4MG89tpr1Pv7Pi933HEH06ZNIywse4d3xIgRDBgwwKfWVUXJmZPHjRtX7M99Kb2zfQZLxfHWPkhxFWdf5WzzaEU421xd1ebStLQ0+vXrR3JycpFjtERH0KdNm0b9+vVp3Lgxq1atYtWqs99ca+HChSWplsjISHr27ElsbCxut5uePXvmSfwPHjzIo48+yvLlywkIKP5NcUaOHMnw4cNzH6ekpBAdHU2XLl18evKaP38+QUFBpC77mtsL2Qh7tG/L5PZtcx9f//pEHr7uWm5q2xaOHeG7bX/hl5nJyKiamI4dKVbbmw8eotPrE1m9enW5DID58+fz7LPPgstF3SMuWtRvzO7DB0g4epw+DS7FcSKLJnWyT9f/efvvJJ6I59lnn+WB/5vIldfdWETtRUuMP0Z4jVoAfDz9FVpf3IlaF/amrCfMfDZ7CgtmTuLGG2+kZcuWBS6XmppKfHw83377Lddddx0rV64kLi6O9PT0PNvqZ599RlRUFK1bt2bz5s0F1rdu3TpWr17NwAm3ctG/7pKelmIn055JaK3soxO/Lf+DwDAbV41pS6exZ76web3fFK4b3Im2NzTjGLvy1LHsne9Z8tZ3Jao/qe1BErJcudeyLn9/FfVa1+bYBXnr/ncbTz/4PNdeefY7+kaEwEWtL2P3pqN0vPgqDh87xIlj8bSudzl+qTaC/753wfI1a2neuCURFP3BMnfhTGZ+Mo0+F19Im+iyJ8tNa0aw9H+vcn7dKBJST3Pk4AHq1avHbx+9R/Df1/kv3byVxuEhpK35ht1lbO9wUgpTvv+x3MZqVTZ//nyGDh3Ku8O7c/vVhd9c8I0FP7F57R+se6UfYcHZl55kOV0kpKQRHhrCcvtFnP75I2qH2bgzanuhdb06fz3jZq+j7uC6VL80/1HDY18fI/HHRJo92YxJWZMgCdwuN25/NyPWjSCkZQhZp7LY+tdWEq5N4Kekn/K8/sTSE5z44sRZx2txFDSm0684QfOOTfn+5BJaX3M+8QcTOJJwGP/rsjgWdfZxXZicMX//yNc9Mq/nMvvjDmuFKzL7lzm+mDed1T/+wpi3PicwJLR087zLiSlhE66IdmA6c7ZFzpzftl4UUcGBZKxbkTumW9epydzXX6LrhedzIOEkxw4d5OSP39P3pZd8frzmjI1+nR6nfdNrSvz6DIcdp8tJoH/2Dva3v31N3bBmOP5sQMKJk/zycQJR4Q04nhTH4YPHMO9pRtyJkn9xEhe/i0lfPFbm9elwOFi+fDk33HADVqtvn26f0zfh3R6m2vlX4UxPxe3IwBIcAUDq9h9x+QfzwrZQDMMg89gejs152ue3ufKWs0/9+JyfMDf17P2YXJnpuF1ZmP++F8DJn37AiGzCkxs8d4+Q5J8+JWXdx6Uek3kFcV7ddqyY8RcXNLyM+JQjHDl0HMue5sQdz34PznQTx9cH4r/bc19ortj0MV9v+oh3bwzg9pb5x9kb69LYvCWddYNCCdt9Zl/49vMNds96kNGdg/g5zsHpo8k84XwL6+a8ZxdvivfjyHVvUbt2bZ86IPlvOWdyF0eJEvS77rqrxHdqL64hQ4bw0EMPAdl3i/+nX375hePHj9O+/ZlrJJxOJ6tXr+att94iIyMj95ugf/L398ffP/9phFar1ecnYgCysrCW4PfmDTdY3O7c18z64QcGX94Rf8OAYtZjcjmx2+2YTKZyW0fp6ekM63UHMS89iclkwuVyMfH+kURVj6DnM8NISTuFxWwh0N9Gn6u788HyRThdbjCV/acV5r0/kW2//YTTmUXz1hfz4DNveKTerKzs9eZwOHC5Ct4NDAwMpFevXnz88cd8+eWXpKWl0b17d0JCQvK8zu12//1TNIXvUmZmZmK328lyZ+E251027XQa0x/8CEeGA8MwCI6oxoMzBoPFjZsz24PbALfJle/1AA6no8T1J59MYfr9H+JyunADNaLDiZl4x1nr/2cbLqcLEwV/qI24/zkmvDWKaR+8gclkMOL+58hyOHl03D24XC7cbjd1ouox6tGXCq0nR06fZWVm4M4q+ylRt7a/gPkbN7P4tz8xgNsuaUNERATTN/3OnuPxuNxuGkSEcftFrT3SntORWe5jtSqz2+3gdBR69/VDJ1J4cvoKGtcOpcuIjwDw9zPz3St9ufnZj0l3ODlNNRqFwhfP31rkndxdWdl9lp6VTgB5v2x2JDo4NO8Q1kgr21/KTvQNq0GT0U2IfiCagx8fBBe4nW4iukRgbWolg4w8daQ70gscr8VR2JzR78X/8OFTn7Dw1a8wDIP+428ltG4w7lKkvTlj3lPz+tSXRvDLuhUkJR7n+eH9sQUG8fyUhcROfp5adRsw+pE7ALBa/Xj5/aWla8RkzhNrzvyx88gxrj2/aZ4x3bN1c+b+9BsTvliG2WSi32VtwJlVacZr9rzoxJ1V8v29lFNJvLdsLC63M3v+D67NXZ2fJtgvnL6dhvPeN+MwYeDCTZ8rHibMFoW7FFc5OB1uj67PyrJfaLfbSXc4sTgNstLsnPh8Am5HJhgG5sDqRN76HJmu7MtbMrI8u44qu5z15kmOU8mc+OxFcLvA7cYSGkV4z+FkeLCd9MysMo3Jf7vzyv8ye9VrLPrxPUwY3HnVY1QPiGTOdxP588BPpKQl8vaXT+NvDWRM3w898A7A8fd7wOHG+q/LhQ6luHjym1Qahxl0mZl9R3l/C/x0TxCvXmdh4Gd2Wr6Zjp8ZPvpPAIFGBv/+2DE5swt8fVsvSWwl+mT898+deVK3bt3IzMzEMAy6ds17FO26667j999/z1M2ePBgWrRowVNPPXXW5PxctPLxx/I8nnP3kAKW9L4O57fljQeeyVf+/esf5Hn80rzpHm33gZGve7S+0mjdujVt2rShTZs2bN68+axJ+M0331zmdiLqhTHy84eLXO7xefd5vP5nvvpvqeosTN2oaN4aF5uvPHbSpx5vqzQiggK5v3PH3Mc516Deflk7jyTkUvHqRYbgXv70WZ/7eUoMDreZJWmXeORn1qzhVi6IveCszwW1CqLp2PL/TdrCxnRk/QiGzy3dXFHe7n/61bOWL/zxaLm33aXVebRvUDdPWXCAP/defVmesnPllxtqhNTh6dveOetzFze9loubXlvBEVVdluo1qX3XJG+HcU6zhkZRZ/D/vB1GidQIqcOjvSfmK+/bafhZli5/9UJMuJ87+1nNtYJMLBtYrYIj8g0+82vvZrM5987V/064g4ODueCCvDsu1apVIyIiIl+5iIiIiIiISGXkMwk64NPXhYuIiIiIiIiUJ68m6EWdMr9o0aICn/v3T7CJiIiIiIiIVGal/6FUEREREREREfEYJegiIiIiIiIiPkAJuoiIiIiIiIgPUIIuIiIiIiIi4gOUoIuIiIiIiIj4ACXoIiIiIiIiIj5ACbqIiIiIiIiID1CCLiIiIiIiIuIDlKCLiIiIiIiI+AAl6CIiIiIiIiI+QAm6iIiIiIiIiA9Qgi4iIiIiIiLiA5Sgi4iIiIiIiPgAi7cDkILtj0/k1wMHKrTNbUeOVkg7+47FsWnX1iKXO5JwHIDjhw+we/uW8g6r1BLjs9fbyZMnOXLkSJHLWyzZQ+/YsWNkZWWVut1Tp04BcOJgIgf+OFTqegpy8lhKudb/zzYOH4tj++6itwlPOZGYvW0lnk7j0Mlkj9dvtvrRBDiclILTkenx+o+npHq8znPN3qNJ/Lqz9HOey7BAbdi8+xgmd9Hj+HBCdp9lxmdi32cvdbsFcZx0AOU7Xj0hZ8z7+rwOYMJNk1DYu/NPXBi55TlzfnHnj8o2XhNSj3LwxA5vh1Ggo0kVu2/kS7KSj5FxdFeRyzkSDlZANJVHVspxnMVYb77GmZoA+P6YLExyWjwAe0+6+fWI0+P1b09yEeTxWr3MfQ5JTk52A+7k5GRvh1Ko1atXuxctWuS22WxuwCt/O3bsKJf3tnbtWq+9J1/6s9lsXu9j/VWNPi6vsVqVeWoe0jiu+n+e7mNfH6+V7TO6rOszMzPTvWjRIndmZqaH1mD5KW3f+Po2V958YZ9af+X7lzNPb9u2zdubW6FKkocabrfbzTkiJSWF6tWrk5ycTEhIiLfDKZDD4WDJkiXUrVsXk6nir0IIDg6mWbNm5Vb/zp07c4/8FkdCQgIRERHlFo+nlCROl8tFXFycR/q4vNdPRax/b/VxebbryT4uSHmP1aqspPPQ2ZSmj6vCePWEyhJnYX1c0vdQWcarJ8ZGRfDE+szZ3+rRowdWq9VDkZWfkvZNZdnmypO396k9obLMl4WpiP0tXx/HJclDdYq7D2vTpo1Pb2ilda5/WED2B0ZcXFyV7WNRH/s6T8xD6uOq71zsY31G+y71TemdS2P4XJMzT1cllfOrJBEREREREZEqRgm6iIiIiIiIiA9Qgi4iIiIiIiLiA5Sgi4iIiIiIiPgAJegiIiIiIiIiPkAJuoiIiIiIiIgPUIIuIiIiIiIi4gP0O+giIue4nTt3curUqXzlCQkJREREFLu8KijJe3O5XABs3rwZk8m3v++uqn0WHBys34b2soLmD19ztjHgq2O4pOO1soxvjVeR4lGCLiJyDvvhhx+48sorvR1GpWSz2Zg7dy6dOnXCbrd7O5xz1o4dO7TT7yWVff7QGK54Gq8iRVOCLiJyDtu3bx8AvS4ZTKvoS3PL1/21hDVbv2TEVXfTuXGH3PJ5WxbzwabP6dy5c5Xbyfr111/5+eef862LgpitBgCP3TgJp8Nd3uGVWk5f1rylJsEXBns7HI/JOJzBoemHKsXR26oqZ/7oPbwLrTu38G4whVgzbwNrZq/PNwb8Tf4ANBrZiAxXhrfCyyNxVSInvz/JC5396dGs6N30937NZOrPjmLPW95yNOkAs76boPEqUgxK0EVEhIigKKIjz8t9XP3ABgCiq9emdVTz3PLv96wHICwsjNq1a1dskOUsODh7x/3f66IghsUNpFK3RlPcWUY5R1d6OX3pV8MPW0Obl6ORqigyOpz6F9TzdhgFCqv1F5B/DPiTnaDb6tsw+chtmaxbrAA0CjNoX9tc5PJ1grPnnuLOWyLi+3xjNhIRERERERE5xylBFxEREREREfEBStBFREREREREfIASdBEREREREREfoARdRERERERExAcoQRcRERERERHxAUrQRURERERERHyAEnQRERERERERH6AEXURERERERMQHKEEXERERERER8QFK0EVERERERER8gBJ0ERERERERER+gBF1ERERERETEByhBFxEREREREfEBFm8HICIi3tGwYUMyMjIA+GLj+5hMZprXa88zH96O2+0C4LElE/jvV+P57eEv2XfyEB/99gUAy5cvJyUlhSuuuMJj8ezcuZPvvvsOt9uNy+Xi8ssvp23btrjdblatWsXvv/+OxWIhMDCQQYMGeazdijB6dj8sZitWiz8AXdr25aKmnXE4M/nsx2lsO/gzFosf9cIbM+i6//NytMXjynRxcOpBMg5nYPIzYQ4xU+euOvjX8idtTxpH5xzFlZG9HUX1jSKoZZCXIxZf9ObAd0k5cQrDZBBQzZ/bx9xE/VZ1+XPVdj5//WucmU78bH70H38L9VrW8Vqce1/dS1ZyFoZhYLKZqN2/NrYGNjKOZnDovUM4TzkxB5qpe09dAuoGlLm9/36dzoCF6WwaVo22UWYAMrLcPL4snW92OwmwQJtaZlrUMMrcVkHz0PHkQ3z4/cukpidj8wti4DVPUju8YZnbE5HCeTVBj4mJYdasWQwbNoxp06blee7BBx9kypQpDBo0iNjYWKZOncrUqVPZt28fAK1atWL06NF0797dC5GLiFQNDz/8MM888ww3XnI3FzXtDED1wAha1b+MNVu/oFfzazidaSfMFsKd816jQ3QbPtu6gquvvprvvvuO8847j8jIyDLH4Xa7WbhwITExMdSqVYukpCTeeustzj//fDZt2sSxY8d44IEHMJvNpKamlrk9bxhy/Sjq1Wiap+yLn94DDEbfOQvDMEhJS/ROcKUUfk04QRcGYRgGCSsSiJsRR6OnG3Fg8gHq3VOPoFZBZBzNYN8r+2j2UjNMfjpxT/Ia+vYAAkNsAGz65g9mPTGf4fOGMeO/c3n84/uoc14UOzfsZcZjcxn9zeNei7P+A/UxV8tOlFN+SSHuvTiavtCUw7MOE351OGFXhZG8MZm49+Jo8lyTMrc3qpM/E3/MzFP29IoMDGDHQ9UwDIOjqS7e+zXz7BWUQEHz0LzVk7ji/J50aN6NTXtW8eHKV3jylillbk9ECuf1T8ro6GjmzZuH3W7PLUtPT2fOnDnUr18/t6xevXq89NJL/PLLL/z8889ce+213HTTTfz5/+3dd3wUdf7H8ddsSbLpJIHQErqigBRBBT0VCyjt9DwLIAKeWA4Uy1nQE/Ts+hNEVFBU0BNE5MDeQEBEpSOCICBSAwkhIX2TbJnfHzGrAQIJJNlJeD8fjzySzMzOvnc/O9/MZ2d28vPPwYgtInJSWLb7R649oy8ABgaF3pKdQa/Xi91ux+VyVdl9GYZBYWEhAEVFRYSHh+NwOPj++++55JJLsNtLdo4jI+vGkdgij5sffvmc/mfdiGGUHAWLDo8LcqqKs4XYiOoYFcge3ioczwEPvjwfvlwfke1K6hTaMBRbuI3cn3KDGVcsqrQ5B3DnFmIYcGBnBhGx4TQ+pSEAbc5qQebeLHZt2BOsmIHmHMBX4APAm+PFvd1NbI9YAKK7RuPJ8FCUVnTC9xcfXvbIeH6xyRtri3ni4rDANtcw8sR348sbh3LdB9mVvoVubS4FoFOL8zmYt5/07JQTvk8RObqgn+LepUsXtm3bxty5cxk8eDAAc+fOJTk5mRYtWgSW69+/f5nbPfHEE0yePJlly5bRrl27I667qKgocPomQE5ODgAejwePx1PVD6XKlGazckY5Mapx3VdbajxlyhQMw+CHLZ9xWosziXLFggHrdiwFILMgmzOanobPbvJs//sZOONODMNg/vz5DBgwgOjo6CrLcvXVVzN79mycTieFhYVce+21+Hw+8vPz2bx5Mxs3bgSgR48etG/fvsrut1RISAgulwtHiB3DYR5zecNulvl+9IXh7cVPg2nSLLEtf+1+Ezn5mYSHRfHVuhls3r0WpyOEPt1uoG1SlxN9KGU4Qxy4XC7CHGGEElql6/6zvV/tpV6XekREReCMcZK/Ip+4s+LI/y2f4tRizANmld6/3+bH5XLh9/urbTurLdtxMLlcLhyGA8N3/M3itH+9y+ZlvwJw+xs3Edc4lvysAn5buYtWXZqzbsHPFOYVkbErm2anJR9jbYdz2p1H3AZCCCnz/Vi2v7ad3F9K3mhqc1cb/Jl+nLFOwuy/n9JuQEh8CGRAaOLxvdbDnGElb3w6w8AoxmOE4LE5+SXLS1y4jceW+lj4WzEuh8HDPSOwhbhwuewVHrcOlZG194jjUHhoJNERcThCbICJAcRFNeCgO40G8ZX/qIHdaVT79nok2obrvtpS48rkM0zTrPzWXEWGDRtGVlYWF1xwAZ9++ikLFiwA4JJLLqFfv34sXryY2NhYpk+fXuZ2Pp+P999/n6FDh7J27VpOP/30I67/kUce4dFHHz1s+syZMwkPD6/yxyMiUpukp6dTv359vF4vM2bMYOfOnYwdOzYw/cUXX2T37t1ERUUxduxY/u///o9u3bpxwQUXkJqaykMPPcQjjzxCUlLSCWfx+XyMHTuWQYMG0a5dO7Zu3cqTTz7JhAkTGDZsGAMHDuTaa68lLS2NBx54gLFjx5Z5E9fqjvRcDx48mHvuuYfRo0fTs2dPfvvtN8aNG8ekSZOIjY0NduRKef/991m1ahX/+c9/CA0NZfv27bz99ttkZWWRnJxMZmYmZ599Nv369Qt2VLGwhQsXsnTpUsaOHcv69esDZ1i2bduW9evXM2TIEM4666xgxwzkHDRoEOPHj+eVV/447fvee+9lyJAhnHHGGSd8PyNGjGDMmDG0bNmSbdu2Vct4Ud56H374YV544YVqe2wiJ5uCggIGDRpEdnb2MQ9uBP0IOsD111/PmDFj2LlzJwDfffcds2bNYvHixWWWW79+Pd27d6ewsJDIyEjmzZtXbnMOMGbMGO6+++7A7zk5OSQlJdGrV68qPepT1TweD/Pnz+fSSy/F6XQGO45UA9W47qstNZ49ezYjRozgirNv5uf1X5AyPxKI5I1V77Bw+UJG/2Uory+fTfJigxU/LOe80HYMnDKQAQMGkJiYyFdffUXXrl1POEdKSgqpqal4vV7WrVsHlByZW7hwISEhITRo0CAwvVGjRixatChwVlRV+f7771myZAmDzr+HLq0vPObyht2k8UX57F0Ygek71oWaIik9MbRbzHV8tn4Y3p+bYxg2Whf3IWW+nVDOoJ6rEavnptE2qemJPpyABWvf44u179BkeBNizoqpsvWWSv08lYPLD9Lm3jY8634W3EA9sI22EUcceeSxdcxWCuMKWZu1tsru173LzfantrNkyRI6duxYZev9s9qyHQdL6fgx5KmrOLNfpxNeX7v2yUx+9Se2NVlHg/YR3DFwOACeIi+Luy/CdZGftOa/Vnq9X726iM9eWnjYNhBCCPfH3s8zWc9QTCU+y90F1k5ei9fpJTUzlf9k/AfDbmCaJtvTtvNe6Ht8mPVhpXMCpH+eTvpH6UwdEEa4J5vztjxGp1wnB/L93GvA07Ezsa97F4AZUW6+eWkks372V3jcOpTXfeRx6JcFOWSmZ7HrSxd2mx3TNEndcwDf5makpFX+Y0YpB35lwkd3Vev2eiTahuu+2lLjyuyzWKJBr1+/Pn379mX69OmYpknfvn1JSEg4bLlTTz2VH3/8kezsbObMmcPQoUP55ptvym3SQ0NDCQ09/BQjp9Np6QKWqi055fipxnWfVWucn58fON3K7XazdfcGmsa3ptBdiM/vY2fqVgB2ZqTQrkEb4pzRuJxh/LZ/F263m7y8PPbs2cM555yD3+8/4TxRUVHk5uaSlpZG/fr1yczMJDMzk7i4ONq3b8/WrVvp1q0bbreblJQUevToUSX3+2fFxcW43W68xT5Mb8WvjGz6jKMuX+Rx4/P7CA8t2alduXkRTeNbE+GM5dQmndm4YzXtks/mQM4+MnJSSYxuVqn7PxZPsRe3202ht5AwTvzq0n924IsDZC3LosV9LfBF+PBR8tlcT5YHZ2zJ6z5zcSaEQshpIRRx4p/NLVXkL8LtdmOz2ap9G7PqdmwFbrcbr+nFtFd+eyzIcVPsLiY2saRp/vGrDUTUiyA8Poys9CxiGpQcTPn0la84tUcr6reKw6Ty9+PxeY66DRRTfNTXpi/fh7/Yj7NeyWsgZ3UO9kg7vmgfYc3CSPs+reQicauyccQ5MBKN436tF3oKS67L5DHBNHGaxTj9Phq54OIWdhZuzaNPGyfbD/rZcdDHRc2Lcbs9lR63SpU3DrVs0J6mCW1YsWnB7xeJW0JsRH3qRzbF9Fb+cfk8Zo1tr0eibbjus3qNK5PNEg06wI033sioUaMAePnll4+4TEhICK1bl1wB98wzz2TlypVMnDiRV199tcZyiojUBWlpaVx11VVkZGSU/J69i5t6PUKu+yCvf/Uoew9uB+DXjF28duVj2G12Jv/1Ue769AkAlixZQvfu3avk9HYoufBbv379mDNnDoZRciSqT58+xMTEcPHFF/Phhx+ycuVKAM4991yaNGlSJfdbE0qfU7/pwwQSohpxw0UPAHDdX+5kxjf/xwfLp2LD4Lq/3EVsxIlfFb8meDI9pM5KxVnfyfanS14vhtOg1dhWHFx8kKwfsgAIbRRK8u3JgQtQiZRy5xTy2sh38BR5MAyDqPgIRr4xHMMw+Gj8V/y6cjt+n5+WnZsx5Jmrg5bT5/ax++Xd+D1+DMPAHmWn2Z3NMAyDJsOasOf1PaR/ko7NZaPpP6rm7JfbPyskpwh6v1NAVAj8ekcUU/q5+MdHbu5fUITNgFf7hbHpgO+E76u8cWjg+Xfx30XP8OXamYQ5I7j+wnur4JGJyLFYpkG/7LLLKC4uxjAMevfuXaHb+P3+MheBExGRimnZsiVr165lxowZXH/99VzU4e/ER5VcMfmBv7/KF6vf4ZNV07i52zUkxTQC4C/Nu3JD5yt47ts3uPTSS+nQoUOVZurQocMR1xkeHs7AgQOr9L5qUkJ0Yx74+5HfSE6Ibszo/uNrOFHVcMY5aT/9yBfra3BFAxpc0aCGE0ltE9+0HmM+vP2I84Y8/fcaTlO+kISQcv91WmijUFo9fOL/Vu1Qk/qEMbhD2YvXtaxnY9HQiDLTHl9y4g16eeNQYmwS/7rypRNev4hUjmUadLvdzqZNmwI/H2rMmDFcfvnlJCcnk5uby8yZM1m8eDFffvllTUcVERERERERqXKWadCBo164bf/+/dxwww3s27ePmJgYzjjjDL788ksuvfTSGkwoIiIiIiIiUj2C2qAf+u/TDvXBBx8Efn7jjTeqN4yIiIiIiIhIENmCHUBERERERERE1KCLiIiIiIiIWIIadBERERERERELUIMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAWoQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQRERERERERC1CDLiIiIiIiImIBatBFRERERERELMAR7AAiIhJ8GXmp7E7fEvg9u+AAALuz97E+dXNgelpeyfSDBw+yb9++mg1ZzXJzc4HDn4vy2J0GTWhIyoFf8XnM6o533EprWXygGPcOd5DTVJ2ivUXBjiC/S9+dya4Ne4Ido1wH03KAw7cBv80PseDe5abIb43Xk+egB4DtB03W7PMdc/m9uSVjT0XHrWBJzdoV7AgitYYadBGRk1jz5s0B+GTlND5ZOe2w+c99+wbPffvGYdMXLVrEokWLqjteUJT3XBzK5XLx7sB3mfDRXbjd1m9898/dz/65+4Mdo8pFRUUFO8JJq3T8+Hj8V3w8/qvghqmAQ7cBl8sF78L2p7Zbbht+eFERDy+q+JsGFR23gk3bq8ixqUEXETmJnXvuuWzZsiVw9PjPMjIyiI+Pr/D0uqAyj83v95OSksKSJUuw2az9ibG6WrOoqCjatGkT7BgnraONH1ZzpG3AqttwZbfX2rJ9a3sVqRg16CIiJzntMB0fj8dDSkoKHTt2xOl0BjuOSFDU5vFD27CIWJF13i4UEREREREROYmpQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQRERERERERC1CDLiIiIiIiImIB+j/oYhlbt24lNzf3hNcTFRVVq/8vq4gET2XGIb/fD8C6deuw2cq+361xSESOl/aHRE5uatDFEr777jvOO++8Klvfli1b9EdJRCqlsuOQy+Xi3Xff5fzzz8ftdh82X+OQiFSW9odERA26WMKOHTsAeKx/f/p0aHfc69m0L5Xrp02vkneeReTkUjoO9ezZs0I7tA5HyZ/Q4cOH4/V6A9PT09OZN2+exiERqbTScajB3xoQdUbUca+naG8Re17bo3FIpBZSgy6W0qJ+PF2Sk4MdQ0ROYvXq1aNRo0bHXK70tPbExMTA6e4iIlUhJCEEV3NXsGOISBDoInEiIiIiIiIiFqAGXURERERERMQC1KCLiIiIiIiIWIAadBERERERERELUIMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAWoQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQRERERERERC1CDLiIiIiIiImIBatBFRERERERELMARzDsfNmwYb731FrfccgtTpkwpM2/kyJG88sorDB06lOnTp/PUU08xd+5cfvnlF1wuFz169OCZZ57h1FNPDVJ6qQnTvv+BG9/+L/NuvZkrOnVi5Y4d3Dl7DnlFRRiGwfi/X8VFbfUaEJGqt3XrVhYuXIhpmvj9fnr06EGnTp14/fXX8Xq9GIZBSEgIu3bt4tZbbyUxMTHYkUWkjtn+3Ha82SXjjc1lo9HgRriaudj7zl5y1+biyfDQ6tFWuJq5gh1VRKpIUBt0gKSkJGbNmsWECRNwuUoGl8LCQmbOnElycnJguW+++YaRI0fSrVs3vF4vDz74IL169WLjxo1EREQEK75Uox0HMpi6dCnntGgBgGmaXDnlNaYPvYFLTmvLlrQ0LnnhRTY/Og5XSEiQ04pIXWKaJnPnzmXYsGEkJiaSlZXFSy+9xGmnncZNN90EgM1mIz8/n+nTp6s5F5FqkfzPZOwRdgByVueQ8noKrR9rTUy3GOr3qc9vT/wW5IQiUtWCfop7ly5dSEpKYu7cuYFpc+fOJTk5mc6dOwemffHFFwwbNox27drRsWNHpk+fzq5du1i9enUwYks18/v93PTOO0y69lpCHSXvI2Xk55Oel8clp7UF4JTERGLDXXz+88/BjCoidZRhGBQWFgJQVFREeHg4DkfZ97UXLFhAly5dghFPRE4Cpc05gK/AF/g54tQInHHOYEQSkWoW9CPoADfeeCPTpk1j8ODBALz55psMHz6cxYsXl3ub7OxsAOLi4spdpqioiKKiosDvOTk5AHg8HjweTxUkrx6l2aycsTq4XC5wOPAYBuO/Xsg5rVpxRvNmmAZ4DYOYqCgaxUQzc/Uaru56Jqt27GBz2n62ZWTiMQwA/DY7LpcLv99v6efvZK3xyUQ1rp1cLhdOpxO73c7VV1/N7NmzcTqdFBYWcu211+J0/rFDnJuby4YNG7j77rux2f54v9vhcNSKcUiOTdtx3WbV+rpcLsIcYYQSCsD217aT+0suAG3uahOYDmBgEEJImWkAfptf4xDWrbFUndpS48rkM0zTNKsxy1ENGzaMrKwspk6dSlJSEps3bwagbdu27N69m5tuuonY2FimT59e5nZ+v58BAwaQlZXF0qVLy13/I488wqOPPnrY9JkzZxIeHl6lj0Wqzs6dO3nllVd44okncDgcPPTQQ/Tv359zzjmH7du38/bbb5OVlUVycjKZmZmcffbZ9OvXL9ixRaQO8fl8jB07lkGDBtGuXTu2bt3Kk08+ycSJE4mOjgbgvffeY+fOndx3331BTisiJ4OFCxeydOlSxo4dG5g2YsQIxowZQ8uWLYOYTESOpaCggEGDBpGdnR3YjyiPJY6g169fn759+zJ9+nRM06Rv374kJCSUu/zIkSPZsGHDUZtzgDFjxnD33XcHfs/JySEpKYlevXod84kJJo/Hw/z587n00kvLHK2py2bPns2IESOYOmQwtrw8svft455bbgYgNTuHN3btpMmuHYy84AJG3npz4HYdxj3K3yMjuChtHwDrdu/h/OfHs2TJEjp27BiUx1IRJ2ONTzaqce1TOg4NGDCAmJgYUlNT8Xq9rFu3Dig5qrVgwQJatWqFaZp88cUX3HHHHaxfvx6/3x9YT1paGtOmTbP8OCTHpu24brNifUvHoSbDmxBzVkzZmV1g7eS1jNszDkdkyS58tj+bqblTCc8qe+DJvcvN9qe2n/TjkBVrLFWrttS49EzuirBEgw4lp7mPGjUKgJdffrnc5UaNGsUnn3zCkiVLaNq06VHXGRoaSmho6GHTnU6npQtYqrbkrCputxu8Xkadfz6jzj8/MP3C5ydw58U9uaJTJ/ZlZdEopuQP1tRvlxIZEkKvU0/B+P1EEJvfh9vtxmaz1Yrn7mSr8clINa5d3G43Ho+HqKgocnNzSUtLo379+mRmZpKZmUlcXBx+v5/ffvsNv99Px44dD2vQvV5vrRqH5Ni0HddtVquv2+2m0FuIM9+Jv9iPs15JtpzVOdgj7XgjvPgo+Ty6iUkxxdixl1lHkb9I49CfWK3GUvWsXuPKZLNMg37ZZZdRXFyMYRj07t37sPmmaXL77bczb948Fi9eTIvfr+wtJ5fXvl3KjBUrMU2T0xo1ZN6tN2P8/vlzEZGqEhkZSb9+/ZgzZw6GYWCaJn369CHm9zcI165dS6dOncp89lxEpCr53D52v7wbv8ePYRjYo+w0u7MZhmGQMj2F3HW5eLO97Hh+B/YwO6c8e0qwI4tIFbBMg26329m0aVPg50ONHDmSmTNn8uGHHxIVFUVqaioAMTExgX/PJnXT4nvuCvw8rl9fxvXrG8Q0InKy6NChAx06dDjivKuuukrNuYhUq5CEEFqNa3XEeU2GNanhNCJSUyy1dxEdHV3uZ8MnT55MdnY2F154IY0aNQp8vffeezWcUkRERERERKTqBfUI+qFXZz/UBx98EPg5iBebFxEREREREal2ljqCLiIiIiIiInKyUoMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAWoQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQRERERERERC1CDLiIiIiIiImIBatBFRERERERELEANuoiIiIiIiIgFqEEXERERERERsQA16CIiIiIiIiIW4Ah2AJE/256ewZpdu4779pv2pVZhGhE5GR08eJB9+/YdczmHo+RPaFpaGl6vNzA9PT292rKJyMmh+EAx7h3u47590d6iKkwjIjVJDbpYQvPmzQF4+OOPefjjj094fVFRUSe8DhE5uZSOQ4sWLWLRokXHXN7lctGrVy+mTZuG2334jrTGIRGprNJxaP/c/eyfu/+E16dxSKT2UYMulnDuueeyZcsWcnNzT3hdUVFRtGnTpgpSicjJpLLjkN/vJyUlhSVLlmCzlf3EmMYhETke2h8SETXoYhn6IyIiwVaZccjj8ZCSkkLHjh1xOp3VmEpETibaHxI5uekicSIiIiIiIiIWoAZdRERERERExALUoIuIiIiIiIhYgBp0EREREREREQtQgy4iIiIiIiJiAWrQRURERERERCxADbqIiIiIiIiIBej/oFvYunXrsNms8x5KRkYG8fHxwY5x3KyU3+/3A9aqsZWen1JWy1SZPDVR49r8/NSUqKioSv1P4a1bt5Kbm1uhZU/GGpenruZUjY+tstuYFVnpbzFY7zVhtTyVYcX9rfLUhW1JqoYadAtatmwZAOeffz5utzvIaaQ6uFwu3n33XdW4DlONrWPLli0V2un57rvvOO+88yq8XtW47lONK6ai25jVaH+r7qtt23Bt3ZakaqlBt6Bdu3YRGRlJdI9riWnaKdhxAMj76Uvy1n7OZe1PoW2jBsGOU2nLf9vFD9t2MWLQHXQ/8y/BjsMXiz8E4O/D7+KMsy4MbhhgwUcz+HLuW5aqb2nN+nUbTruks4Idh+9/+YxvN37MY8P+Qp+zWh1zeb/hIAVYMn4wNtNb5Xle/3wdkz9eW+E81a00T8xfrsfVsmuw4wDgydhNxifPV/iI+I4dOwAYcUU/zunQ7pjLGzY7AC/fdxem33fcOcvzybffM2/xtxXOEyylOe9ISOD8iMhgxynXnOwsZmVl8Vj//vSp4PPpt9lLtuN77sZWDTV+/dvvmPztt/S/uxcderat8vVXt32/7mfaXbMqvI1ZTen+1uWjLqLt+cEfRwG+nbWCb2cso2fPnpZo1NasWcOqVassNbZXhu+XhQD8+/xQLmtm3SPom9L9XD/PXWu3JalaatAtzBHdAEfD1sGOAYD7t1UAxEWE07ReTJDTVN4vrjAAGic24dRWpwc5Daxa9z0A9Rs2pdWpZwQ5DaxJ+BqwVn1LaxYf2ZCk+qcEOQ3E7FoBQIuGsXRp0/CYy3tMOykF0LFVIk6j6nfsG6/YVqk81a00jyMmkVCLjFvHq1FCPKc2Szrmcn7DIBNondwEm2lWeY5l62MqlSdYSnM2dTg5PSwsyGnK1yCvZJenRf14uiQnV+g2HsMgBeiY1BRnNdS4cb2fAaifFEdy+6ZVvn6pmIQm9Szz/NdL/KXke716NGrUKMhpSk67hto7thfu+RGAZrEGXRrZgxtGpIKs+1aSiIiIiIiIyElEDbqIiIiIiIiIBahBFxEREREREbEANegiIiIiIiIiFqAGXURERERERMQC1KCLiIiIiIiIWIAadBERERERERELUIMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAWoQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAI5h3PmzYMN566y1uueUWpkyZUmbeyJEjeeWVVxg6dCjTp09nyZIlPPfcc6xevZp9+/Yxb948rrjiiuAEryU8mSlkfDoBnzsHW2gE8X3uJKR+s2DHAsDr8/HRuk1sSU3HYbfTOCaKv3Zux6vfLA8sU+z1kZlfwCMDLiE8NCQoOYs9xUya9iwr1n5HiDOU1i1OZdxdz3DnuBFkZh3AMAzCXRHcNeJBTml5WrVmeX38Q6z89kvSU/fw/FsLaHFKewD27v6NSf+5g5zsTMIjo7j93xNJbtm2WrOUOlIdB53TmU379vPF+s2YgM/v58K2rejWvGmNZBo7YxAOuxOnIxSAXp0Gcmbrnrz06X3kFGRiGDbCnC7+fu4okhLaVGuW4uJirnrmfX7ZlY4r1EGD2Agm39Gb1k3qMfy5T/nu5z24Qh1EhoXwwj8vodupjao1T2Gxl+ue+JCNOw8cMc/qranYDAOnw8bT/7iQi7s0r9Y8h8pc8CoFW5fjy9lPo2EvEpLYskbv/3jk5OTwr0eeDPxeWFzMvvQMPh7/FC/NnsvmnbsxbAYOu51br/orXU87tcayZeflMfr5SUfMFh0ZAcDqTZu5a/xLjLrmb1xzac8ay1aeudlZ/Ds1lRcbN+GSqCge3LePjYWFGAY4DYO7EurTPSKiRjONGDGCWJtBuLPk79CYy3rx144due71N9i4LxWX00mDqCgmD7qO1g0a1Gi2Q00cMpWc9FwMm0FYRCjXPPJXkts1Yf2iTXz0/JeYfhO/z8+lN19A96u6BjVrXfD9+yt5+773ufXVG+jUqz2fv7yQZf9bxf4dGdwyZQiderWvkRxbt25l4cKFmKaJ3++nR48edOrUiZSUFL788kuKi4sB6N27Ny1atKiRTJWR99N8Mj6fSP0rHyL8lO7BjlPGHZ8X8tFmDzuzTdbeEkGnhnYAvvjVy78XFlLsg3Cnwav9wuj4+zyRExXUBh0gKSmJWbNmMWHCBFwuFwCFhYXMnDmT5OTkwHL5+fl07NiRG2+8kb/97W/BilurZHz5MpGdLiOywyXk/7KUjM9eoNHQCcGOBcCnP23GAO6//EIMwyDHXUhEaAh39/pLYJnFv2xjW3pm0JpzgMlvj8fAYNYrn2EYBhkH0wF47N7niYqMBuCbZQt44sUHeeuFedWapXvPflxx/UgeumVAmelTnrmXS6+4nov6Xsf3Cz9m0uOjee7NL6s1S6kj1dE0TWYu/5HbLjyHxrHRZOYX8Ozn39ChSUPCnDUz5Nx4ycM0TWh9yLSxhIdGArBu+1LeWfQsY66eWu1Zburbmf5nNccwDF76YDU3jf+Mxc8P5spzT2Hq3ZfjsNv4ZNmvXP3YPHa8889qz3Nzn05cflbLw/JMuO1iYiPDAFj7ayoX3zeLA3NGY7MZ1Z6pVPip5xJ91lWkzrivxu7zREVHR/PmIw9iM00AZn65gB83/0p0ZAS3X3cVUeHhAGzZtZvR/zeJT194GputZk5ei4mMZPq4MYHf/5wNIK/AzZT/fcQ5HdrVSJ5jSfEUMycrm45hYYFpDzRoQLS9ZKd3Y2EhN+7exfet22Azau51CTBjxE10a/rHm4yFHg83n3cel7dvV7ItLVrMTf+dweJ77qrRXIca8fL1hEeX7Eut/XIDb/1rNv/+7E6m3TWLu9+9laanNeLAnkweufj/6Ny7PWGRYcdYo5TnwJ5Mls5aQYvOf+yrtj23NV37d+Tt+96vsRymaTJ37lyGDRtGYmIiWVlZvPTSS5x22mm89957XHHFFbRs2ZKMjAzefvttRo0ahdPprLF8x+LNTiNv3ZeENK65Ny8r4++nO7jv3BDOezM/MO2g22TwXDdLhoXTroGdb3d6GTzXzYZ/RgYxqdQlQT/FvUuXLiQlJTF37tzAtLlz55KcnEznzp0D0y6//HIef/xxrrzyymDErHV8+VkUp24lol3JEZHwU8/Fm5uO5+DeICeDIq+XFdt3c3mHUzF+38mKdh2+k7Bi+27ObplU0/EC3IUFfLJgLrdcPzqQM75efYBAcw6Ql58LVP/OYrvO3Ulo0LjMtKzMdLZtWscFvf8OlDTxGWl72bd7e7XnOVodDcDt8QBQ6PESHurEUUNNSXlKm3MAd3Ee1MAOfkhICJef1Trw/JxzWmN2pGUDMKBHGxx2W2B6yoE8vD5/teYJC3HQ5+xWR8wT+6cd9ez8omrNUW6+pPY4ohOCct9V5dNvf6DfX0qOAJU251DSDAfbn7MBTJg5m6H9ehMTWbNHpI/Eb5o8nJrKQ4mJhPxp2yxtzgHy/L5gRDuiMKeTPh3a/7EttWzBjoyMIKci0JwDuHMLA8OcYRi4c0peg4W5RUTUC8cREvRjNLWW3+/nnQfmcO0jfy3zPLbolEz95Pgaz2MYBoWFhQAUFRURHh6O1+uloKCAli1LzkSKj48nLCyMX3/9tcbzlcc0/WR8/iL1Lr0Vw26dNw3+7PxmDppGl91/2XbQT7zLoF2DkvHpL80c7Mr2s2afdcYoqd0sMTrfeOONTJs2jcGDBwPw5ptvMnz4cBYvXnxC6y0qKqKo6I8dzZycHAA8Hg+e35sHKwtz2rHbzeO6bWF+Oo7IOMKcNqBkHc7o+tjy9hOaUPnTaMNCHBS7XDhCQjEcJzaIZuYWEB7q5OvN29mamo7TbqdXh7ac0rB+YJnt6Rm4PV5OT2qCUQWNnTM0FJfLhc1uw0/FBtDdqTuJjozhrTmvsmrdMkJDQhl+3W107XgOAI+/8CBr168E4NmHX67wegHsjpJB3W4zwO+t5KMB/D7we8lI3U29+AbYbYDfiwEkJDbmQOouGjWp+JsbDocdVyXre7Q6DjmvG299t4pQu52CYg/Dzj8LZ2hopR5iac0cIXYMRyW2AwPeXvw0mCbNEtvy1+43EeWKBeCtBU+zJWUdAP/s90Sl1usMcZSc5WN34jGPfRqbx7SV+Q4wYd5q+nc/9bDbj5+7msvOaoVpc+KpYCSbI6RSeY7k0DwPvrGQuUs2cTCvkPcevgqf4cBXyTxhTjuhxzlulTIMcNrNE1+Pw8DlcuH3+ys85rtcLmwOB/4KvIFj/r6MaRj4gfW//kZuQQHndOwQuP2UOR+weNVacvMLeGzkCLDbqejbMA6ns1J5jubQbItXrQGbjR6dO7J4zTr8Bsd9H4GcYWH4Krmdl5qevp9OkVG0jYnBPJCO3+kMrGvCvr18lZ1Njs/HhOYtMMPCKjHa/sEeFlayzTgceCr4WEuXGz7tLTBNurVozhNXXkH9qKgyy01YuIj+nTpWeL2lbL8/dw7DgeGrmjcxp/3rXTYvK2nCbn/jJmx+OyMmXs+U294m1BVCQbabW18ZitMewnE9kX9iM+2V3sasqLLP/9evL6FV5xY0Pz0ZwwTDbytz+yNNqyinveQ14XQ6K3y2zdVXX83s2bNxOp0UFhZy7bXXEhUVRVRUFBs3bqR9+/akpKSQkZFBdnZ2pc7iCQmpurH9UJnL5hGedBrRTVqRbYDTduLj/mFKz9xzhOGxncAL3sjDY4TgsTlpnuAnw13Akj12uic7+fiXInKL4ddsOx2aHN9ZKX6HH5fLX+u3pWAofb6s/rxVJp9hmmYVbwkVN2zYMLKyspg6dSpJSUls3rwZgLZt27J7925uuukmYmNjmT59epnbGYZRoc+gP/LIIzz66KOHTZ85cybhfzqyURf9+uuvjB8/nldeeSUw7d5772XIkCGcccYZQUwG27Zt45577mH06NH07NmT3377jXHjxjFp0iRiY2MBmDRpElFRUQwbNszSOQEWLlzI0qVLGTt2bI3kGjFiBGPGjKFly5ZBrfPRnp/nnnuOQYMG0a5dO7Zu3cqTTz7JxIkTiY6OPvaKT1B6ejr169fH6/UyY8YMdu7ceVhtarpmAO+//z6rVq3iP//5D6F/amIWL17M7NmzefLJJ8u8roKVB2DdunX897//5amnngrKqZB/fo3XJkcbt4L9nP4528GDB3n00Ud5/PHHiYyMZOLEibRo0YIBAwYce0XVYOfOnbzyyis88cQTOBwOHnroIfr3788555xTZrlgPYfHGlOOti0FU+k499BDDzF27Nigjcl1TUVer+W9hquDz+crt76lp7VnZWWRnJxMZmYmZ599Nv369av2XMdS0e3eKg79u7R+/XpmzZqF2+2mbdu2rF+/niFDhnDWWWcFOalYVUFBAYMGDSI7O/uYY68ljqDXr1+fvn37Mn36dEzTpG/fviQknPhpjmPGjOHuu+8O/J6Tk0NSUhK9evWy9B+l2bNnExkZyT0zl2Nv3eO41uHNTyT1wEHuXQaGzY5pmvy2N5039yYSUlj5o23Zy/9HzvfvcXXXM+iYdGIXssorLMIwoGnaDrbNng5ArNPOD2+/xikNG1Dk8bL0m28Y3fuCwPwTtXjzNhZs/JUHRv6Hi87rXaHb2OvXw2azceX5w7BjJ75lS5okvsHBncW0iv2jcbj6opZMmfIqjpw4YqJjK7Tu2R+9zcUDzuO7Dfvo3rN/5R6MPRSzXjv89dsR52jOwaxH8NTrhN3hwDRN0jOyiD+1J/76Fb8QzLwZrzBn2oRK1be8Os6Z+Bxpu3YQ9vNKtv28EhsQaZgsnTaFUxtV/AJKpTUbdP49dGl9YYVvB5Gk/P5Tt5jr+Gz9MFLml/1c2KkMYPK6KWz+2EdkWEyF1rpg7Xt8sfYdpt59OddccOwLAnpMG/PdZ3KpazWT5nzPphU/8+0zg4mN/CmwzOzFG/lk9mKWPDuY5AZbK/wIAZ6bvYzHZ3xf4Tx/Nv79ZUfMU6pPd5gx9SBJaZ/T5ZSKvR5K88RddjsRp/3l2Dc4ioPFBi/8bCfswIldcKc47TfSZj7AkiVL6Nix4zGXnz17NiNGjOD+oYO4qFuXYy5vGgYH4xpTL3Mvbreb75cu5bWH7yMuI+WwZXs2TeCNvFyyflrFqc2Tj7C2w737xQKmf/JFhfOUp6CwsEy2zes2kJ2Zwb9G3wGUXExu1fLleNJSGPG3yjfppTkfS2xI7+P427oq4wAZaWncMXAgAAe8Xl77ZTOOholcG//HvkArYNru3fjGPEjb43iT/c2MDKZkZjB1yGCuOfPMCt3GYxjMb9CQS/en4jRNunU/m3affUaftH0AjP9qPptWruLbu0YTm5VZ6UzPfTWfxz/7nCFPXcWZ/TpV+vZH0659MpNf/YmV5mLS89NIuDaUNH4lur1B9NsRrPYv5fT2p5zQfezemMLz106p8DZmNaX7W1/t/ICOfSt2Qbfl675nX+Zebhk9AoDs9Fx2vbaDXa4tXDC4ZJ/NE+Emu1kqae0rfzr5V68u4rOXFjJgwABOP/30Yy6fkpJCamoqXq+XdetKzhBzuVwsWLCAVq1alTmYNWnSJDweT2C5ivj+++9ZsmRJlYztf5a1+hcy9uznun+UXHvFl3eQX7ZPJn5tNrFn9qmy+yla8yETb+1H3vu3cc0px38EPdyTwXlbHqNTbsmbg32A+6/5/T68K0laeIDr86bQet3rx7X+dWl+zp+WX2u3pWDyeDzMnz+fSy+91FLXVzhU6ZncFWGJBh1KTnMfNWoUAC+//HKVrDM0NPSI72Y7nU5LF7BUoceHw3ecpzWG1cOZ2IrMnxb/fpG477BHJWDGNKHoOManwmIvbrcbb3ERpvfETiGJcNho0yCBX1L2clqjBmTkFZCRl0+DcBem18Pa7btoFBtFg4iwE76vUp6iItxuN36fHxsV2+mPi07gzA7nsHLtMnp0PZ+9aXvYl5ZCi6atycjMoH5cSbO5ZNnXxETFEhsVh1HBz6L7vCVF8PlNsB3HZmizg81BbHxDWp7agW/mf8BFfa/jh4UfE9+gEY2SK3d1cq/XV+n6llfHMxo3YP76X0jNzCQxOooDufkcyMunfnjl6llaM2+xD9Nbsee1yOPG5/cFPm++cvMimsa3Jj8/n2JvIbERJTv767YvJSIsmnB7TIXX7fl9G8DnwWlUfCN6+X8/MHvxBhY8M5B6UU5Kzymd/c0mHpm+hAXPXkezxEgqe66p31t8XHnGz1nB7MU/l8nj8frYmZZD6yb1AFjxy17Ss/M5pXF0hdddmueExq3fmSZ4fAbGCa6nyGvidrux2WwVHvPdbjd+rzdw0bejKT1V3TBNFq9YTeukJrRomAimidfrIzUjk6aJJR/d2fjbDg7m5NIkIb5C6wbwejyVylOeQ7Ode0Y7Ph7/VGD+E2/+lzZJTUuu4n4c9xPIWViI/TiOIA+KjGJQ5B+njA/dtZMh9eK4ICKSPbm5NAspuVDoT243mR4PzQB7UeWvk+ArLCzZZrxenBV8nPlFReTl5eE0TZymyZwVK+mclITTNBm/4Gtmr1zJgtGjqedyHddz5//9ufOaXkz7iV2DoiDHTbG7mNjEkjcdf/xqAxH1IohLjiU7PYe92/fRqHUi+3ccIH1XBomt40/4Pv2Gr9LbmBVV5vk//4ZzOP+GP47yPn/dFC6+8Tw69WqP+fuoYBpg2vzH9fx6fCWvCY/Hg99/7NtHRUWRm5tLWloa9evXJzMzk8zMTOLi4sjOzibq949jrF69GqfTSbNmzSq03lLFxVU3tv+Zq1NfmnbqG/g9deYDRHf9K65Tuh/Xfmp5Cj2/f4zQW4jzRK5jYZo4zeLAOvbl+mkUVfJRgUcXF3JRCzun1fMe38cWAZu3bmxLwWT1/q4y2SzToF922WUUFxdjGAa9e1fsCKccXXzvURz4bALZP8zGFhpOfJ87gx0p4KozOzB75To+/ekXDODvXTsQE17yuZ2Si8NV7AhTdbv3trE89dLDTH57PDabwb23jcPn8/Hv5+6iqKgIm80gNjqOZx96OXCxoOoy+el7Wf39ArIy9/OfO6/DFR7JK3OWcev9zzHp8dH8760XCY+IZNRDE6s1x58dqY5xEeH8vWsH/vvDWgxKroBwZed21ItwHWNtJy7XfZDXv3oUv+nDBBKiGnHDRQ9QWJzPG/MfpdhXjA2DSFcst172RLXX7MCBA9z32gJaNoql579mAhAaYmf5pKEMfupjGsZF8Nex/wss//VzA4mPrr7naU96Dve8uvCwPIueG8TQZz8hu6AIh81GRJiTOQ9fQb2omr3Cc8YXL+HethJf/kHSZo/FFuKiyS3Vf6X9qvDJ0h/o/5c/znjy+nw88eZ/yXO7sdttuEJCefy2fxAdUfMfrzo0W23hNU0e3LePXL8Pu2EQbth4oXETYuw196+M0nJyeHjCRJ4uLgbTpGVCAm8PG8qegwe5Z87/aJmQQM8JLwAQ6nCw/IHg/QcCd04hr418B0+RB8MwiIqPYOQbw4muH8X1T17F1FEzMAwD0zS57tEriPv9DTmpOp9N+polM5eRl5nHfx9IZda4D3nok9FExVff1b0jIyPp168fc+bMCdS3T58+xMTEsHjxYtavXw9AQkIC1157bbX/3atrbvnYzadbvaTmmfR+p4CoEPj1jijGLiri210+vH6T7kkO3hhQ/fs4cvKwTINut9vZtGlT4OdD5eXllbny5Pbt2/nxxx+Ji4sr8+/Y5A/O+KY0GvJ8sGMcUXxkOLf1PPL/urz94nNrOE35mjRM4qXHpx82/fXn3qvxLLc98NwRpzdp1pqnp35aw2lKlFfHzslN6JzcpMbzJEQ35oG/v3rEeff+7ZUjTq9OCQkJFH/10BGPQnu+qPkd+ab1ozHnP3DEed9NHFLDaQ4Xf9moYEc4blPG3FPm97DQECaPubucpWvWodkO9dCNwa/9n72V3Czw84xmzY6yZPVrWb8+EyZMoE/avsOOuptTan5MOZr4pvUY8+HtR5zXbUBnug3ofMR5cmLumXVr4Oc+t19Mn9svrvEMHTp0oEOHDodNv/DCC7nwwgtrPM/xaDjo6WBHOKJX+x+58Z6qhlyqkWUadOConwtftWoVPXv2DPxe+tnyoUOHHnYROREREREREZHaJqgN+rEa6w8++CDw84UXXkgQLzgvIiIiIiIiUq2q5p9uioiIiIiIiMgJUYMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAWoQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQRERERERERC1CDLiIiIiIiImIBatBFRERERERELEANuoiIiIiIiIgFqEEXERERERERsQA16CIiIiIiIiIW4Ah2ACmfN2c/vtRfgx0DAF9eBgCZ+QXsOZgd5DSVl+0uBGBvWgqbt20Mcho4cDAdgPTUPWzb/FOQ00DmgdSS7xaqb2nNMvJS2Z2+JchpILvgAADbU7NYszX1mMv7DQc0gnXb0rCZ3irPszcjr1J5qltpHm92GkUWGbc8GbuP63b7DmSweeexb2vY7MTFN+HXXSmYft9x3dfRHMjKrlSeYCnNucfrYWNhYZDTlG+/r2Q73J6ewZpduyp0G7/NDomNWLd7D7ZqqPHeg1kApO/OZNeGPVW+/uq279f9wY5QJQ6kHLTM838wLafk+8GD7Nu3L8hpIDc3F7DW2F4Z/rxMAHZmmazZV/XbcFXZlO4PdgSxEvMkkp2dbQJmdnZ2sKMc1ZIlS8wPPvjAdLlcJqCvOvjlcrlU4zr+pRpb52vLli0VGnuXLl2qGutLNT6Or4puY1aj/a26/1XbtuHaui0FU3FxsfnBBx+YxcXFwY5yVJXpQw3TNE1OEjk5OcTExJCdnU10dHSw45TL4/Hw2Wef0aRJE2w263wKISMjg/j4+GDHOG5Wyu/3+0lJSbFUja30/JSyWqbK5KmJGtfm56emREVF0aZNmwovv3Xr1sARo2M5GWtcnrqaUzU+tspuY1ai/a2KsVqeyrDi/lZ5avO2FEyl23GfPn1wOp3BjlOuyvShOsXdwjp27GjpF5ocP4/HQ0pKimpch6nGtVNldo5U47pPNT45qL51l7ZhqY2s/VaSiIiIiIiIyElCDbqIiIiIiIiIBahBFxEREREREbEANegiIiIiIiIiFqAGXURERERERMQC1KCLiIiIiIiIWIAadBERERERERELUIMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAWoQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQRERERERERC1CDLiIiIiIiImIBatBFRERERERELMAR7AA1yTRNAHJycoKc5Og8Hg8FBQXk5OTgdDqDHUeqgWpc96nGdZ9qXPepxnWb6lv3qcZ1X22pcWn/WdqPHs1J1aDn5uYCkJSUFOQkIiIiIiIicjLJzc0lJibmqMsYZkXa+DrC7/ezd+9eoqKiMAwj2HHKlZOTQ1JSErt37yY6OjrYcaQaqMZ1n2pc96nGdZ9qXLepvnWfalz31ZYam6ZJbm4ujRs3xmY7+qfMT6oj6DabjaZNmwY7RoVFR0db+oUmJ041rvtU47pPNa77VOO6TfWt+1Tjuq821PhYR85L6SJxIiIiIiIiIhagBl1ERERERETEAtSgW1BoaCjjxo0jNDQ02FGkmqjGdZ9qXPepxnWfaly3qb51n2pc99XFGp9UF4kTERERERERsSodQRcRERERERGxADXoIiIiIiIiIhagBl1ERERERETEAtSgi4iIiIiIiFiAGnQLevnll2nevDlhYWGcffbZrFixItiR5Dg89dRTdOvWjaioKBo0aMAVV1zB5s2byyxTWFjIyJEjiY+PJzIykquuuoq0tLQgJZYT9fTTT2MYBnfeeWdgmmpc+6WkpHD99dcTHx+Py+WiQ4cOrFq1KjDfNE3Gjh1Lo0aNcLlcXHLJJWzdujWIiaUyfD4fDz/8MC1atMDlctGqVSsee+wx/nwNXdW4dlmyZAn9+/encePGGIbBBx98UGZ+ReqZmZnJ4MGDiY6OJjY2ln/84x/k5eXV4KOQ8hytvh6Ph/vvv58OHToQERFB48aNueGGG9i7d2+Zdai+1nasbfjPbr31VgzD4IUXXigzvTbXWA26xbz33nvcfffdjBs3jjVr1tCxY0d69+7N/v37gx1NKumbb75h5MiRLFu2jPnz5+PxeOjVqxf5+fmBZe666y4+/vhj3n//fb755hv27t3L3/72tyCmluO1cuVKXn31Vc4444wy01Xj2u3gwYOce+65OJ1OPv/8czZu3Mjzzz9PvXr1Ass8++yzvPjii0yZMoXly5cTERFB7969KSwsDGJyqahnnnmGyZMn89JLL7Fp0yaeeeYZnn32WSZNmhRYRjWuXfLz8+nYsSMvv/zyEedXpJ6DBw/m559/Zv78+XzyyScsWbKEm2++uaYeghzF0epbUFDAmjVrePjhh1mzZg1z585l8+bNDBgwoMxyqq+1HWsbLjVv3jyWLVtG48aND5tXq2tsiqWcddZZ5siRIwO/+3w+s3HjxuZTTz0VxFRSFfbv328C5jfffGOapmlmZWWZTqfTfP/99wPLbNq0yQTMH374IVgx5Tjk5uaabdq0MefPn29ecMEF5ujRo03TVI3rgvvvv98877zzyp3v9/vNhg0bms8991xgWlZWlhkaGmq+++67NRFRTlDfvn3NG2+8scy0v/3tb+bgwYNN01SNazvAnDdvXuD3itRz48aNJmCuXLkysMznn39uGoZhpqSk1Fh2ObZD63skK1asMAFz586dpmmqvrVNeTXes2eP2aRJE3PDhg1ms2bNzAkTJgTm1fYa6wi6hRQXF7N69WouueSSwDSbzcYll1zCDz/8EMRkUhWys7MBiIuLA2D16tV4PJ4y9W7bti3Jycmqdy0zcuRI+vbtW6aWoBrXBR999BFdu3bl6quvpkGDBnTu3JmpU6cG5m/fvp3U1NQyNY6JieHss89WjWuJHj168PXXX7NlyxYA1q1bx9KlS7n88ssB1biuqUg9f/jhB2JjY+natWtgmUsuuQSbzcby5ctrPLOcmOzsbAzDIDY2FlB96wK/38+QIUO49957adeu3WHza3uNHcEOIH84cOAAPp+PxMTEMtMTExP55ZdfgpRKqoLf7+fOO+/k3HPPpX379gCkpqYSEhIS+INRKjExkdTU1CCklOMxa9Ys1qxZw8qVKw+bpxrXfr/99huTJ0/m7rvv5sEHH2TlypXccccdhISEMHTo0EAdjzRuq8a1wwMPPEBOTg5t27bFbrfj8/l44oknGDx4MIBqXMdUpJ6pqak0aNCgzHyHw0FcXJxqXssUFhZy//33M3DgQKKjowHVty545plncDgc3HHHHUecX9trrAZdpAaMHDmSDRs2sHTp0mBHkSq0e/duRo8ezfz58wkLCwt2HKkGfr+frl278uSTTwLQuXNnNmzYwJQpUxg6dGiQ00lVmD17NjNmzGDmzJm0a9eOH3/8kTvvvJPGjRurxiK1mMfj4ZprrsE0TSZPnhzsOFJFVq9ezcSJE1mzZg2GYQQ7TrXQKe4WkpCQgN1uP+wKz2lpaTRs2DBIqeREjRo1ik8++YRFixbRtGnTwPSGDRtSXFxMVlZWmeVV79pj9erV7N+/ny5duuBwOHA4HHzzzTe8+OKLOBwOEhMTVeNarlGjRpx++ullpp122mns2rULIFBHjdu117333ssDDzzAddddR4cOHRgyZAh33XUXTz31FKAa1zUVqWfDhg0Puziv1+slMzNTNa8lSpvznTt3Mn/+/MDRc1B9a7tvv/2W/fv3k5ycHNj32rlzJ/fccw/NmzcHan+N1aBbSEhICGeeeSZff/11YJrf7+frr7+me/fuQUwmx8M0TUaNGsW8efNYuHAhLVq0KDP/zDPPxOl0lqn35s2b2bVrl+pdS1x88cWsX7+eH3/8MfDVtWtXBg8eHPhZNa7dzj333MP+PeKWLVto1qwZAC1atKBhw4ZlapyTk8Py5ctV41qioKAAm63s7pDdbsfv9wOqcV1TkXp2796drKwsVq9eHVhm4cKF+P1+zj777BrPLJVT2pxv3bqVBQsWEB8fX2a+6lu7DRkyhJ9++qnMvlfjxo259957+fLLL4E6UONgX6VOypo1a5YZGhpqTp8+3dy4caN58803m7GxsWZqamqwo0kl3XbbbWZMTIy5ePFic9++fYGvgoKCwDK33nqrmZycbC5cuNBctWqV2b17d7N79+5BTC0n6s9XcTdN1bi2W7FihelwOMwnnnjC3Lp1qzljxgwzPDzcfOeddwLLPP3002ZsbKz54Ycfmj/99JP517/+1WzRooXpdruDmFwqaujQoWaTJk3MTz75xNy+fbs5d+5cMyEhwbzvvvsCy6jGtUtubq65du1ac+3atSZgjh8/3ly7dm3gKt4Vqedll11mdu7c2Vy+fLm5dOlSs02bNubAgQOD9ZDkT45W3+LiYnPAgAFm06ZNzR9//LHM/ldRUVFgHaqvtR1rGz7UoVdxN83aXWM16BY0adIkMzk52QwJCTHPOussc9myZcGOJMcBOOLXtGnTAsu43W7zn//8p1mvXj0zPDzcvPLKK819+/YFL7ScsEMbdNW49vv444/N9u3bm6GhoWbbtm3N1157rcx8v99vPvzww2ZiYqIZGhpqXnzxxebmzZuDlFYqKycnxxw9erSZnJxshoWFmS1btjQfeuihMjvzqnHtsmjRoiP+/R06dKhpmhWrZ0ZGhjlw4EAzMjLSjI6ONocPH27m5uYG4dHIoY5W3+3bt5e7/7Vo0aLAOlRfazvWNnyoIzXotbnGhmmaZk0cqRcRERERERGR8ukz6CIiIiIiIiIWoAZdRERERERExALUoIuIiIiIiIhYgBp0EREREREREQtQgy4iIiIiIiJiAWrQRURERERERCxADbqIiIiIiIiIBahBFxEREREREbEANegiIiICwLBhw7jiiiuCHUNEROSk5Qh2ABEREal+hmEcdf64ceOYOHEipmnWUCIRERE5lBp0ERGRk8C+ffsCP7/33nuMHTuWzZs3B6ZFRkYSGRkZjGgiIiLyO53iLiIichJo2LBh4CsmJgbDMMpMi4yMPOwU9wsvvJDbb7+dO++8k3r16pGYmMjUqVPJz89n+PDhREVF0bp1az7//PMy97VhwwYuv/xyIiMjSUxMZMiQIRw4cKCGH7GIiEjtowZdREREyvXWW2+RkJDAihUruP3227ntttu4+uqr6dGjB2vWrKFXr14MGTKEgoICALKysrjooovo3Lkzq1at4osvviAtLY1rrrkmyI9ERETE+tSgi4iISLk6duzIv//9b9q0acOYMWMICwsjISGBESNG0KZNG8aOHUtGRgY//fQTAC+99BKdO3fmySefpG3btnTu3Jk333yTRYsWsWXLliA/GhEREWvTZ9BFRESkXGeccUbgZ7vdTnx8PB06dAhMS0xMBGD//v0ArFu3jkWLFh3x8+zbtm3jlFNOqebEIiIitZcadBERESmX0+ks87thGGWmlV4d3u/3A5CXl0f//v155plnDltXo0aNqjGpiIhI7acGXURERKpMly5d+N///kfz5s1xOLSbISIiUhn6DLqIiIhUmZEjR5KZmcnAgQNZuXIl27Zt48svv2T48OH4fL5gxxMREbE0NegiIiJSZRo3bsx3332Hz+ejV69edOjQgTvvvJPY2FhsNu12iIiIHI1hmqYZ7BAiIiIiIiIiJzu9lS0iIiIiIiJiAWrQRURERERERCxADbqIiIiIiIiIBahBFxEREREREbEANegiIiIiIiIiFqAGXURERERERMQC1KCLiIiIiIiIWIAadBERERERERELUIMuIiIiIiIiYgFq0EVEREREREQsQA26iIiIiIiIiAX8P1YRZulAJQmXAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_gantt_chart(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8369c406-656b-4bd6-a92e-1be90f10534a",
   "metadata": {},
   "source": [
    "### Solution Methods"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a28aea62-2894-4d72-b68d-028df04f70ea",
   "metadata": {},
   "source": [
    "The methods used to address variants of the Job Shop Scheduling Problem (JSP) can be broadly categorized into three main groups: \n",
    "\n",
    "- Exact Algorithms\n",
    "- Heuristic Algorithms\n",
    "- Machine Learning Approaches\n",
    "\n",
    "In this project, we have implemented a variety of methods from each of these categories in a standardized way. This allows users to configure their problem environment and pass it to the appropriate solution method. Below, we provide a few examples demonstrating how the solution methods interact with the configured problem environments.\n",
    "\n",
    "The parameters for different solution methods are specified in configuration files (.toml), which are located in the 'configs' directory. These files define the problem instance to be solved as well as the associated parameters for solving it. In the 'custom_problem_instance' tutorial, we show how these parameters can be included directly in the code, bypassing the need for a parameter .toml file."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72cfa944-5839-42d3-9f34-85a314aa26e6",
   "metadata": {},
   "source": [
    "#### Dispatching Rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4a96b767-ba8c-4268-b327-e1f98a890c78",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Makespan: 1823\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/dispatching_rules.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['instance'].get('problem_instance'))\n",
    "\n",
    "makespan, jobShopEnv = run_dispatching_rules(jobShopEnv, **parameters)\n",
    "plot_gantt_chart(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe11b158-68db-480d-a5da-dec6a3dff820",
   "metadata": {},
   "source": [
    "#### Genetic Algorithm    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "189a1d39-2988-4ba0-a881-572173a43098",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:gen\tavg     \tstd           \tmin    \tmax    \n",
      "0  \t[2140.6]\t[190.79947589]\t[1838.]\t[2574.]\n",
      "INFO:root:\n",
      "INFO:root:1  \t[1995.8]\t[89.29703243] \t[1838.]\t[2111.]\n",
      "INFO:root:2  \t[1933.9]\t[96.53750566] \t[1838.]\t[2111.]\n",
      "INFO:root:3  \t[1895.5]\t[84.19055767] \t[1838.]\t[2085.]\n",
      "INFO:root:4  \t[1868.3]\t[61.0885423]  \t[1806.]\t[2023.]\n",
      "INFO:root:5  \t[1936.5]\t[147.32294458]\t[1838.]\t[2276.]\n",
      "INFO:root:6  \t[1885.8]\t[119.04184138]\t[1816.]\t[2197.]\n",
      "INFO:root:7  \t[1931.6]\t[163.01055181]\t[1816.]\t[2197.]\n",
      "INFO:root:8  \t[1816.8]\t[8.20731381]  \t[1802.]\t[1838.]\n",
      "INFO:root:9  \t[1830.1]\t[52.25409075] \t[1802.]\t[1986.]\n",
      "INFO:root:10 \t[1840.4]\t[67.60650856] \t[1761.]\t[1968.]\n",
      "INFO:root:Makespan: 1761\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/GA.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['instance'].get('problem_instance'))\n",
    "\n",
    "population, toolbox, stats, hof = initialize_run(jobShopEnv, **parameters)\n",
    "makespan, jobShopEnv = run_GA(jobShopEnv, population, toolbox, stats, hof, **parameters)\n",
    "\n",
    "plot_gantt_chart(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d32ee19-62c0-4116-875f-e8675f08b3f7",
   "metadata": {},
   "source": [
    "#### Mixed-Interger Linear Programming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a962b096-f199-4c7b-aa34-6c99519d8ed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Set parameter Username\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Set parameter Username\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Academic license - for non-commercial use only - expires 2025-11-07\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Academic license - for non-commercial use only - expires 2025-11-07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Set parameter TimeLimit to value 3600\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Set parameter TimeLimit to value 3600\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (win64 - Windows 10.0 (19045.2))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (win64 - Windows 10.0 (19045.2))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU model: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:CPU model: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thread count: 6 physical cores, 12 logical processors, using up to 12 threads\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Thread count: 6 physical cores, 12 logical processors, using up to 12 threads\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimize a model with 1100 rows, 551 columns and 3000 nonzeros\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Optimize a model with 1100 rows, 551 columns and 3000 nonzeros\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model fingerprint: 0xad5240b6\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Model fingerprint: 0xad5240b6\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable types: 1 continuous, 550 integer (450 binary)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Variable types: 1 continuous, 550 integer (450 binary)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficient statistics:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Coefficient statistics:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Matrix range     [1e+00, 8e+03]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Matrix range     [1e+00, 8e+03]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Objective range  [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Objective range  [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Bounds range     [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Bounds range     [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  RHS range        [5e+01, 8e+03]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  RHS range        [5e+01, 8e+03]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Presolve removed 100 rows and 0 columns\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Presolve removed 100 rows and 0 columns\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Presolve time: 0.01s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Presolve time: 0.01s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Presolved: 1000 rows, 551 columns, 2900 nonzeros\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Presolved: 1000 rows, 551 columns, 2900 nonzeros\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable types: 0 continuous, 551 integer (450 binary)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Variable types: 0 continuous, 551 integer (450 binary)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root relaxation: objective 8.590000e+02, 269 iterations, 0.01 seconds (0.00 work units)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Root relaxation: objective 8.590000e+02, 269 iterations, 0.01 seconds (0.00 work units)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Nodes    |    Current Node    |     Objective Bounds      |     Work\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:    Nodes    |    Current Node    |     Objective Bounds      |     Work\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy: Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
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    {
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     "output_type": "stream",
     "text": [
      "H    0     0                    1321.0000000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                    1321.0000000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  997.00000    0  156 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  997.00000    0  156 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  997.00000    0  136 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  997.00000    0  136 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  997.00000    0  121 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  997.00000    0  121 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  997.00000    0  156 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  997.00000    0  156 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  997.00000    0   88 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  997.00000    0   88 1321.00000  997.00000  24.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    0     0                    1320.0000000  998.00000  24.4%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                    1320.0000000  998.00000  24.4%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    0     0                    1283.0000000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                    1283.0000000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0   32 1283.00000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0   32 1283.00000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    0     0                    1282.0000000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                    1282.0000000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0  115 1282.00000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0  115 1282.00000  998.00000  22.2%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    0     0                    1281.0000000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                    1281.0000000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0  134 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0  134 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0   65 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0   65 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0  110 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0  110 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0  120 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0  120 1281.00000  998.00000  22.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  998.00000    0   72 1281.00000  998.00000  22.1%     -    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  998.00000    0   72 1281.00000  998.00000  22.1%     -    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     2  998.00000    0   66 1281.00000  998.00000  22.1%     -    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     2  998.00000    0   66 1281.00000  998.00000  22.1%     -    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H  126   104                    1275.0000000  998.00000  21.7%  46.7    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H  126   104                    1275.0000000  998.00000  21.7%  46.7    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H  192   150                    1272.0000000  998.00000  21.5%  37.9    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H  192   150                    1272.0000000  998.00000  21.5%  37.9    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H  292   193                    1258.0000000  998.00000  20.7%  29.1    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H  292   193                    1258.0000000  998.00000  20.7%  29.1    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 1301   663                    1249.0000000 1004.49799  19.6%  18.5    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 1301   663                    1249.0000000 1004.49799  19.6%  18.5    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2483  1067                    1248.0000000 1025.26040  17.8%  24.4    3s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2483  1067                    1248.0000000 1025.26040  17.8%  24.4    3s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2498  1026                    1246.0000000 1025.26040  17.7%  24.6    3s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2498  1026                    1246.0000000 1025.26040  17.7%  24.6    3s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2551   978                    1245.0000000 1025.26040  17.6%  25.3    3s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2551   978                    1245.0000000 1025.26040  17.6%  25.3    3s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2563   936                    1239.0000000 1025.26040  17.3%  25.3    3s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2563   936                    1239.0000000 1025.26040  17.3%  25.3    3s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  2660   927 1165.00000   27   55 1239.00000 1025.26040  17.3%  27.4    5s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  2660   927 1165.00000   27   55 1239.00000 1025.26040  17.3%  27.4    5s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 10206  1418 1169.00000   22  102 1239.00000 1104.00000  10.9%  31.2   10s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy: 10206  1418 1169.00000   22  102 1239.00000 1104.00000  10.9%  31.2   10s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*11081  1321              33    1238.0000000 1108.00000  10.5%  30.7   10s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:*11081  1321              33    1238.0000000 1108.00000  10.5%  30.7   10s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*14674  1175              33    1234.0000000 1125.00000  8.83%  31.5   12s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:*14674  1175              33    1234.0000000 1125.00000  8.83%  31.5   12s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting planes:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Cutting planes:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Gomory: 69\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Gomory: 69\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Cover: 31\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Cover: 31\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Implied bound: 34\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Implied bound: 34\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Projected implied bound: 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Projected implied bound: 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Clique: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Clique: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  MIR: 172\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  MIR: 172\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  StrongCG: 15\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  StrongCG: 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Flow cover: 367\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Flow cover: 367\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Inf proof: 14\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Inf proof: 14\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Mod-K: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Mod-K: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  RLT: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  RLT: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Relax-and-lift: 74\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Relax-and-lift: 74\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explored 16209 nodes (531651 simplex iterations) in 13.06 seconds (7.48 work units)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Explored 16209 nodes (531651 simplex iterations) in 13.06 seconds (7.48 work units)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thread count was 12 (of 12 available processors)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Thread count was 12 (of 12 available processors)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solution count 10: 1234 1238 1239 ... 1275\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Solution count 10: 1234 1238 1239 ... 1275\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal solution found (tolerance 1.00e-04)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Optimal solution found (tolerance 1.00e-04)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best objective 1.234000000000e+03, best bound 1.234000000000e+03, gap 0.0000%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Best objective 1.234000000000e+03, best bound 1.234000000000e+03, gap 0.0000%\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/milp.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['instance'].get('problem_instance'))\n",
    "\n",
    "results, jobShopEnv = run_MILP(jobShopEnv, **parameters)\n",
    "plot_gantt_chart(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcb5011b-67cf-4254-bf43-70179619d5a1",
   "metadata": {},
   "source": [
    "#### FJSP_DRL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "809cd371-9d29-49b1-a9f9-0e28b01d9764",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Trained policy loaded from /saved_models/train_20240314_192906/song_10_5.pt.\n",
      "INFO:root:Makespan: 38\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/fjsp_drl.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['test_parameters'].get('problem_instance'))\n",
    "\n",
    "makespan, jobShopEnv = run_FJSP_DRL(jobShopEnv, **parameters)\n",
    "plot_gantt_chart(jobShopEnv);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:base] *",
   "language": "python",
   "name": "conda-base-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
